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A health tech company in Spain is seeking an experienced backend engineer to build scalable systems that drive growth and profitability. The role focuses on developing a next-gen healthcare framework, AI-powered acquisition engine, and automated renewal system using technologies like Python, Flask, and PostgreSQL. Remote work flexibility exists, but in-person collaboration is valued. Ideal candidates will have over 3 years of experience and a passion for healthcare technology.br#J-18808-Ljbffr

A premier AI solutions provider located in Madrid is seeking a Software Development Engineer to ensure the robustness and scalability of backend systems. Applicants should have strong skills in Python and experience with frameworks like FastAPI, Django, or Flask. The role offers an indefinite full-time contract and a comprehensive benefits package including medical insurance and a flexible remuneration plan. The ideal candidate will join a diverse and dynamic team, contributing to the innovative development of AI solutions.br#J-18808-Ljbffr

ppStop watching tutorials and start building production‑grade AI. We are looking for interns in bMadrid, Barcelona and Valencia in Spain /b who are bdriven by tech challenges /b and ready to dive deep into the world of Generative AI. /p pThis is a high‑stakes, 3‑month unpaid program where you will work on‑site with mentors on breal‑world solutions /b for global financial institutions (Hedge Funds, Insurance, etc.). /p pbOur goal is simple: /b We want to find our next bAssociate or Junior Engineers /b. If you prove your grit and deliver results by the end of the 3‑month program, offer is yours! /p h3The Tech Stack Challenges: /h3 ul libBuilding the Future: /b You’ll work on bAgentic Systems and RAG pipelines /b that automate complex business logic /li libEnd-to-End Engineering: /b Develop backends using bFastAPI/Flask /b and integrate with top‑tier LLMs (OpenAI, Anthropic, AWS Bedrock) /li libVibe‑Coding: /b We expect you to use bCursor, Claude Code, and LLMs /b as superpowers to speed up development and focus on high‑level architecture /li libReal Data: /b Handling large‑scale data processing and migrations for production environments /li /ul h3Who You Are: /h3 ul liYou have a solid foundation in bPython /b and know your way around bGit and Docker /b /li liYou don't wait for a Jira ticket—you see a problem and you start figuring out how to build the solution /li liYou are fascinated by GenAI and want to see how RAG works in a real production environment /li liYou can communicate effectively in English and are ready to work bremotely from Madrid, Barcelona or Valencia /b /li /ul h3How to Join What to Expect: /h3 pWe move fast, and we expect you to do the same. Here is the step‑by‑step process and the key dates for the program: /p h31. Application Fast‑Track Task /h3 ul libThe Test: /b Once you apply, you’ll receive an entry technical assessment. You have b3 days /b to submit it and show us your engineering logic /li /ul h32. The Selection Rounds /h3 ul libRecruiter Screening: /b A brief call to talk about your motivation and expectations /li libTechnical Interview: /b A deep dive with our engineering leads into your Python skills and GenAI curiosity /li /ul h33. The 3‑Month Sprint /h3 ul libKick‑off: /b The program will start in bthe end of July 2026 /b /li libThe Work: /b You’ll be online in Spain, working through practical tasks and mentoring sessions on production‑grade projects /li /ul h34. The Final Call /h3 ul libThe Result: /b Top performers who have proven their grit will receive a bFull‑time offer /b to join Provectus as a Junior or Associate Engineer /li /ul h3We are waiting for you to become a part of our team! /h3 /p #J-18808-Ljbffr

ppEn Thinkia estamos en la búsqueda de un desarrollador de Python con al menos 4 años de experiencia en programación en Python. /p pLa empresa promueve la igualdad de oportunidades y valora la diversidad en todas sus candidaturas. /p h3Responsabilidades /h3 ul liDiseñar arquitecturas escalables y modulares basadas en microservicios. /li liDefinir estándares de desarrollo, buenas prácticas y modelos de integración. /li liAcompañar y dar soporte técnico a los equipos de desarrollo. /li liEvaluar herramientas, frameworks y soluciones tecnológicas. /li liParticipar en la toma de decisiones técnicas. /li liRevisar y validar la calidad del código y el cumplimiento de la arquitectura definida. /li liGarantizar la seguridad, rendimiento y mantenibilidad de las soluciones. /li /ul h3Requisitos /h3 ul liExperiencia mínima de 2 años en el desarrollo de API REST utilizando frameworks como Django, Flask o FastAPI. /li liConocimientos sólidos en bases de datos relacionales y no relacionales. /li liExperiencia dockerizando los microservicios. /li liCapacidad para trabajar en equipo y comunicarse de manera efectiva. /li liHabilidades para solucionar problemas de manera creativa y eficiente. /li /ul /p #J-18808-Ljbffr

Job Description Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación. MRM Madrid is looking to expand its Data team with a Technical Data Analyst. Key Responsibilities • Technical Support & Production Deployment: Work closely with the Advanced Analytics team to transform prototypes, scripts, and experimental models (notebooks) into automated, stable, efficient, and production-ready services., • Data Engineering & ETL/ELT: Design, optimize, and maintain robust data pipelines. Ensure data sources are properly structured, clean, and continuously available so analytical models can consume high-quality data., • Analytical & Business Insight: Actively participate in the analysis phase by understanding the analytical objectives of each project, performing exploratory data analysis, validating data quality, and ensuring technical outputs address specific business questions., • Robustness & Best Practices: Introduce software engineering standards into the analytics workflow, including version control, data testing, modular development, and technical documentation., • Model Monitoring: Support the monitoring of variables feeding deployed models to detect data drift and ensure long-term model performance. Desired Technical Skills • Advanced proficiency in Python with a strong focus on data manipulation and optimization (Pandas, NumPy, production-ready scripting)., • Expert-level SQL skills for querying, extracting, transforming, and modeling complex data in data warehouses., • Solid experience building and automating data ingestion and processing pipelines using ETL/ELT tools such as Airflow, dbt, or similar., • Familiarity with deployment workflows, APIs (FastAPI/Flask), containerized environments (Docker), and version control systems (Git)., • Proven ability to analyze metrics, formulate hypotheses, and communicate effectively with both technical and business stakeholders. What We Offer • permanent contract, • #Hybrid model, • Flexible schedule, • Training plans in our extensive training platform., • 23 working days of vacation, plus 2 long weekends of your choice, plus 3 days at Easter, plus 3 days at Christmas. xcskxlj, • The day of your birthday off!, • Incorporation in a multinational company with high professional, economic and financial solvency that leads new, innovative and large-scale projects. #J-18808-Ljbffr

Job Description Inside of TADY's CoC (Aircraft Systems Centre of Competence), Highly Integrated Systems (HIS) is a newly created organization (Domain) with specific responsibilities in Multisystem Architectures, Airborne Computing Platforms, IMA and Modular Integration, HW/SW Certification and Infrastructure and Digitalization. Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación. HIS acts as the Multisystem and IMA Design Office and provides transversal support and services to the whole System's CoC. The organization is created to evolve and prepare the CoC's structure for new challenges and paradigms in systems design, to meet current and future customer needs, and to foster reuse, common strategy alignment, economies of scale, multisystem architectures, and digitalization. The aim is to deliver cross-functional strategies, artefacts and support for the design, development, and certification of air power systems by centralizing competencies, expertise and activities to act as the Multisystem Design Office. Responsibilities • Automation Framework Development: Design, implement, and maintain a robust Python-based automation framework used across multiple programs and environments, defining architecture patterns, reusable components, and ensuring consistency, scalability, and maintainability., • End-to-End Automation Lifecycle: Lead the full development lifecycle of automation solutions—from requirements gathering and design to implementation, testing, deployment, and release to the end customer., • Software Design & Architecture: Define and enforce software design principles, coding standards, and architectural patterns (e.g., modular, hexagonal, event-driven architectures)., • Programming & Scripting: Develop high-quality production-grade code primarily in Python, complemented by strong shell scripting (Bash/PowerShell) skills for system-level automation., • Containerization & CI/CD Integration: Design and maintain Docker-based build environments and pipelines, and integrate automations into Jenkins CI/CD workflows to ensure reliable build, test, and deployment processes., • Code Quality & Testing: Promote automated testing practices, including unit, integration, and regression testing, and implement continuous integration strategies to ensure code quality and early detection of issues., • Collaboration & Stakeholder Management: Work closely with internal customers and other DevOps teams to translate operational needs into software solutions., • Documentation & Standards: Ensure that all developed tools and automations are properly documented—including architectural decisions, API contracts, and deployment procedures—to maintain traceability and compliance with engineering standards., • Innovation & Continuous Improvement: Evaluate and integrate new technologies and methodologies to enhance the automation ecosystem.Qualifications Required Skills: • Degree in Software Engineering, Computer Science, or a related field., • 3+ years of experience in software development and architecture, ideally in automation or tooling domains., • Advanced level of Python programming, including design patterns, object-oriented programming, and modular architectures., • Strong experience with shell scripting (Bash or PowerShell) for automation and integration tasks., • Proficiency with Docker and containerized development environments., • Experience designing and maintaining CI/CD pipelines (preferably Jenkins)., • Solid understanding of software architecture patterns, API design, and versioning strategies., • Strong focus on code quality, testing, and maintainability., • Excellent communication and stakeholder management skills, with a customer-oriented mindset., • Ability to work autonomously while aligning with team objectives and long‑term vision., • English at negotiation level; German and/or French is a plus. Additional Valuable Skills: • Experience in microservices architecture and event‑driven systems., • Knowledge of infrastructure automation tools (e.g., Ansible, Terraform) or orchestration platforms (e.g., Kubernetes)., • Familiarity with FastAPI, Flask, or similar Python backend frameworks., • Experience with Git-based workflows, code review processes, and semantic versioning., • Knowledge of API integration (REST APIs, SOAP APIs, RPC, etc.)., • Experience with logging, monitoring, and telemetry tools for automation health tracking., • Exposure to domain‑driven design (DDD) and hexagonal architecture principles., • Strong analytical and problem‑solving mindset, focused on delivering durable, scalable solutions.Benefits, • Vacation days and additional days‑off along the year (+35 days off in total)., • Attractive salary and compensation package., • Hybrid work model when possible to promote work‑life balance., • Collective transport service in some sites., • Health insurance, employee stock options, and retirement plan., • On‑site facilities: free canteen, kindergarten, medical office., • Possibility to collaborate in social and corporate social responsibility initiatives., • Excellent upskilling opportunities and development prospects in a multicultural environment., • Special rates in products and benefits.Employment Information, • Employment Type: Permanent, • Experience Level: Professional, • Job Family: Software EngineeringEEO Statement Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation, or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. xcskxlj Any impersonation of Airbus to do so should be reported to . #J-*-Ljbffr #J-18808-Ljbffr

Stop watching tutorials and start building production‑grade AI. We are looking for interns in Madrid, Barcelona and Valencia in Spain who are driven by tech challenges and ready to dive deep into the world of Generative AI.This is a high‑stakes, 3‑month unpaid program where you will work on‑site with mentors on real‑world solutions for global financial institutions (Hedge Funds, Insurance, etc.).Our goal is simple: We want to find our next Associate or Junior Engineers. If you prove your grit and deliver results by the end of the 3‑month program, offer is yours!The Tech Stack & Challenges:- Building the Future: You’ll work on Agentic Systems and RAG pipelines that automate complex business logic- End-to-End Engineering: Develop backends using FastAPI/Flask and integrate with top‑tier LLMs (OpenAI, Anthropic, AWS Bedrock)- Vibe‑Coding: We expect you to use Cursor, Claude Code, and LLMs as superpowers to speed up development and focus on high‑level architecture- Real Data: Handling large‑scale data processing and migrations for production environmentsWho You Are:- You have a solid foundation in Python and know your way around Git and Docker- You don't wait for a Jira ticket—you see a problem and you start figuring out how to build the solution- You are fascinated by GenAI and want to see how RAG works in a real production environment- You can communicate effectively in English and are ready to work remotely from Madrid, Barcelona or ValenciaHow to Join & What to Expect:We move fast, and we expect you to do the same. Here is the step‑by‑step process and the key dates for the program:1. Application & Fast‑Track Task- The Test: Once you apply, you’ll receive an entry technical assessment. You have 3 days to submit it and show us your engineering logic2. The Selection Rounds- Recruiter Screening: A brief call to talk about your motivation and expectations- Technical Interview: A deep dive with our engineering leads into your Python skills and GenAI curiosity3. The 3‑Month Sprint- Kick‑off: The program will start in the end of July 2026- The Work: You’ll be online in Spain, working through practical tasks and mentoring sessions on production‑grade projects4. The Final Call- The Result: Top performers who have proven their grit will receive a Full‑time offer to join Provectus as a Junior or Associate EngineerWe are waiting for you to become a part of our team!#J-18808-Ljbffr

GRUPO TECOPY busca un profesional motivado para unirse a su equipo en Madrid y trabajar en proyectos innovadores que combinen inteligencia artificial y programación avanzada. Este puesto requiere al menos 2 años de experiencia en desarrollo con Python, así como conocimientos en tecnologías como Flask, TensorFlow y Java. Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa. Ofrecemos un ambiente colaborativo y flexibilidad horaria, permitiendo teletrabajo y un contrato indefinido. xcskxlj #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

Windsor.Ai is seeking a Senior Python Engineer to own core platform services, API integrations, and scalability. The role focuses on taming 300+ third-party APIs, ensuring fast, reliable data synchronization across destinations while contributing to production-grade systems and a small, autonomous team. You’ll work in a fully remote, async-friendly environment across Europe, using Python, Flask, Redis, Postgre SQL, and Docker. #J-18808-Ljbffr

ph3Overview /h3pWe are looking for a Forward Deployment and a Core Engineer with experience in Python and AWS who wants to work on complex systems, scale production solutions, and be part of a company building the autonomous engine that transforms raw data into financial truth. /ph3Responsibilities /h3ulliArchitect the Core: Design and evolve high-performance Python services. /liliCloud Native: Build and deploy robust infrastructure on AWS using modern patterns (CDK, Lambda, DynamoDB, Timestream). /liliAI Integration: Work at the frontier of LLM-based agents, integrating generative AI into production workflows. /liliOwnership: Move past "tasks" to participate in architecture decisions from day one. /liliRaise the Bar: Champion technical excellence and mentor the team through clean code and best practices. /li /ulh3Qualifications /h3ulliPython Expert: You’ve mastered FastAPI or Flask and know how to write maintainable, scalable code. /liliAWS Fluent: You don't just "use" the cloud; you understand how to orchestrate it. /liliProduct Thinker: You have an obsession with solving real-world problems, not just moving tickets. /liliMadrid Based (or willing to relocate) /li /ulh3Nice to Have /h3ulliExperience with LLMs or Generative AI pipelines. /liliYou understand the "Day 2" challenges of AI (monitoring, cost, latency). /liliYou use Cursor or similar AI-assisted tools to supercharge your workflow. /li /ulh3Benefits /h3ulliWhy Join Us? /liliImpact: You are building not maintaining. /liliZero Noise: We hate bureaucracy. We value high autonomy, deep focus, and technical excellence. /liliTop-Tier Tech: A high-level environment with a clear vision and ownership of your domain. /liliGrowth: Real, rapid opportunities to scale with a company that is defining the "Autonomous Finance" category. /li /ul /p #J-18808-Ljbffr

ph3Responsabilidades /h3 ul liDiseñar, desarrollar y desplegar aplicaciones y soluciones basadas en Inteligencia Artificial y Machine Learning. /li liParticipar en todo el ciclo de vida del desarrollo de software, desde el diseño hasta la puesta en producción. /li liConstruir soluciones robustas, mantenibles y escalables siguiendo las mejores prácticas de ingeniería de software. /li liOptimizar algoritmos y mejorar el rendimiento computacional de aplicaciones de IA. /li liColaborar con científicos de datos, consultores y equipos de negocio para transformar necesidades funcionales en soluciones técnicas. /li liGuiar a perfiles no técnicos en buenas prácticas de desarrollo y arquitectura de software. /li liDesarrollar soluciones cloud‑native utilizando plataformas como AWS, Azure o Google Cloud. /li liImplementar pipelines de despliegue y automatización mediante herramientas DevOps. /li liParticipar en iniciativas de innovación, investigación y generación de conocimiento en Inteligencia Artificial. /li liColaborar con clientes internacionales en proyectos de transformación digital. /li /ul h3Requisitos /h3 ul liMáster o Doctorado en Informática, Data Science, Estadística, Investigación Operativa o disciplinas afines. /li liExperiencia en desarrollo de software con Python y/o Java o Scala. /li liConocimientos sólidos de Machine Learning y Deep Learning. /li liExperiencia con frameworks como TensorFlow, PyTorch, Scikit-learn o Keras. /li liManejo de herramientas de procesamiento de datos como Pandas, NumPy, Apache Spark o Dask. /li liExperiencia trabajando en entornos Cloud (AWS, Azure o Google Cloud Platform). /li liConocimientos de contenedores y DevOps (Docker, Kubernetes, Terraform, Jenkins). /li liExperiencia con APIs y despliegue de modelos mediante Flask, FastAPI, TensorFlow Serving o Streamlit. /li liUso habitual de Git y herramientas colaborativas de desarrollo. /li liCapacidad para trabajar en entornos internacionales y multidisciplinares. /li liNivel alto de español e inglés. /li /ul h3Habilidades Duras /h3 ul liSoftware Development /li liMachine Learning /li liDeep Learning /li liPython /li liJava /li liScala /li liTensorFlow /li liPyTorch /li liScikit-learn /li liFlask /li /ul h3Habilidades Blandas /h3 ul liCollaboration /li liCommunication /li liGuidance /li liProblem‑Solving /li /ul h3Certificaciones y Calificaciones /h3 ul liMáster o Doctorado en Informática /li liData Science /li liEstadística /li liInvestigación Operativa /li /ul /p #J-18808-Ljbffr

Experteer Overview En este rol, te incorporarás a un equipo multidisciplinario para diseñar y desarrollar soluciones de IA, ciencia de datos y Big Data. Diseñarás e implementarás arquitecturas escalables, APIs y pipelines de datos, con foco en IA generativa y resultados medibles para clientes. Colaborarás con equipos de tecnología y negocio para acelerar la entrega y el valor de proyectos de TI complejos. Buscamos a alguien proactivo, con enfoque práctico y habilidades de consultoría tecnológica para impulsar transformaciones basadas en datos. Este puesto exige presencia ocasional y entrega de soluciones de alto impacto. Compensaciones / Beneficios • Diseñar y desarrollar soluciones basadas en Big Data, IA y ciencia de datos., • Construir APIs REST (FastAPI/Flask) y documentarlas con OpenAPI/Swagger., • Configurar y mantener pipelines CI/CD y orquestación con Airflow, Kubeflow o Prefect., • Contenerización con Docker y despliegue en Kubernetes., • Diseñar arquitecturas RAG para IA Generativa y trabajar con modelos como GPT, LLaMA o Mistral., • Fine‐tuning, embeddings y evaluación de LLMs; uso de Transformers., • Trabajo en proyectos de IA Generativa (≥3 años) y desarrollo de soluciones end‐to‐end., • Colaborar con clientes para entender requerimientos, riesgos y entregables de TI., • Experiencia en entornos de desarrollo y despliegue de APIs y soluciones de IA en entornos productivos. Responsabilidades • Experiencia mínima 7 años en proyectos de TI., • ≥5 años en consultoría tecnológica, análisis, diseño y desarrollo de soluciones basadas en Big Data, Ciencia de Datos o IA., • Dominio de Python para desarrollo de IA y Ciencia de Datos., • 5 años con Pandas, NumPy, Scikit-learn; Matplotlib, Seaborn y Jupyter Notebooks., • ≥3 años en desarrollo de APIs REST con FastAPI o Flask y documentación con OpenAPI/Swagger., • Experiencia en CI/CD, orquestación de pipelines (Airflow, Kubeflow o Prefect), contenedorización con Docker y despliegue en Kubernetes., • ≥3 años trabajando con IA Generativa, diseño de arquitecturas RAG, uso de Transformers y modelos como GPT/LLaMA/Mistral., • Experiencia en fine‐tuning, embeddings y evaluación de LLMs. #J-18808-Ljbffr

TRS STAFFING SOLUTIONS busca un Desarrollador/a de Python para unirse al equipo de uno de sus clientes líder en consultoría tecnológica. El rol ofrece desarrollo profesional en un entorno tecnológico en crecimiento y evolución. Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud. Se exige 5 años de experiencia en Python (Dash/Flask), Pandas/NumPy, SQL y entornos containerizados, además de CI/CD con GitHub Actions y nivel de inglés B2 mínimo. Modalidad remota. xcskxlj #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

We are seeking a Senior / Expert Software Engineering Consultant to join a client. The role focuses on designing developing and maintaining high-quality software solutions in a financial environment.TasksAnalyse business technical and security requirements.Design develop refactor and integrate Python-based applications.Develop and integrate databases using Microsoft SQL Server.Write automated unit tests and participate in system and UAT testing.Ensure code quality documentation and compliance with financial standards.Provide training and technical support to internal users.Key DeliverablesRequirements and design documentation.High-quality Python and SQL code with automated tests (pytest) and full documentation.System and integration test results.User operator and training documentation.RequirementsEU CANDIDATES ONLYUniversity degree in IT Mathematics Physics or similar or equivalent experience.710 years (Senior) or 10 years (Expert) of experience in Python and SQL development.Strong object-oriented programming and software design skills.Experience with automated testing (pytest unittest).Proven knowledge of Flask NumPy Pandas.Experience with Git XML / JSON / YAML and Windows & Linux environments.Experience with Waterfall Scrum and / or DevOps methodologies.Excellent communication skills in English.NICE TO HAVEExperience in financial services / capital markets.CI / CD pipelines (Azure) Big Data technologies and cloud architectures.Experience with Power BI advanced Python libraries and scripting.BenefitsOpportunity to work in a high-level financial institution with complex and challenging projects.Long-term collaboration within an international and multicultural environment.Participation in strategic high-impact projects in the financial sector.Professional growth working alongside senior experts in software engineering and finance.Exposure to modern technologies cloud architectures and best development practices.Stable engagement with clear deliverables and structured ways of working.Continuous learning through knowledge sharing documentation and training activities.Key SkillsData Center Experience,Splunk,System Security Plans,Cybersecurity,Computer Networking,Nginx,Root cause Analysis,Windows,Apache,Visio,SSO,TroubleshootingEmployment Type : EmployeeExperience : yearsVacancy : 1Yearly Salary : 100000 - 100000Apply now!#J-18808-Ljbffr

ppSkydance offers a dynamic, inclusive, and ever-evolving culture where innovative ideas are welcomed, and growth fostered. The partnership between unique creativity and technological advancements are demonstrated within each pillar of the company. At the heart of it all is a commitment to boldly entertaining and relevant storytelling. /p pWhile all Animation studios look to hire people who are creative and hard-working, Skydance Animation is specifically looking for pioneers who seek to push the limits of what the world’s most collaborative art form can achieve, and to give those pioneers the space and the resources to build a new studio that’s doing something different. /p pAs a Pipeline Engineer, you will contribute to the development, testing, and maintenance of software applications and libraries for the global feature animation pipeline. Working under the guidance of senior engineers and leads, you will help analyze workflows, implement new features, and support the team in day-to-day problem solving. This role is an opportunity to grow your technical skills and deepen your understanding of animation production pipelines in a collaborative studio environment. /p h3Responsibilities /h3 ul liDevelops, tests, and documents features in the proprietary software used across concurrent film productions, under the direction of senior engineers and leads. /li liAssists in analyzing existing workflows and procedures related to the company pipeline. /li liCollaborates with IT infrastructure, Client Services, Wrangling, Production, and Show TD teams to help investigate and resolve issues with hardware, software products, or internal systems. /li liSupports end users in operating new or updated programs, including writing basic user documentation. /li liStays informed on current trends in animation technology and tools relevant to the production pipeline. /li liApplies engineering best practices in code quality, version control, and testing. /li liLearns and works within established technical frameworks and architectural patterns set by the team. /li liParticipates actively in team brainstorming and planning sessions, sharing ideas and asking thoughtful questions. /li liCommunicates proactively with teammates and leads about task progress and any blockers encountered. /li liFollows the guidance of supervisors, senior engineers, and leads, and actively seeks feedback to improve. /li liDemonstrates a growth mindset and shows curiosity about both the technical and creative aspects of animation production. /li liContributes to a positive and collaborative team environment. /li /ul h3Requirements /h3 ul li3+ years of experience in software engineering, ideally in VFX, animation, or a related media/tech industry. /li liExposure to animation or VFX production workflows is a plus but not required. /li liBS degree in Computer Science, or equivalent practical experience (3+ years) in a software engineering role. /li liSolid foundational engineering skills, with an understanding of code quality, readability, and maintainability. /li liAbility to contribute effectively within a team in a fast-paced, deadline-oriented environment. /li liWorking knowledge of Python 3+ — ability to write clean, functional scripts and tools independently. /li liFamiliarity with Agile workflows and task tracking tools such as Jira, daily standups, and sprint planning. /li liBasic familiarity with USD and its role in production pipelines; experience with integrations in DCC apps (Maya, Houdini/Solaris, Nuke) is a plus. /li liSome experience with PyQt or PySide for tool development. /li liAwareness of ASWF libraries such as OpenColorIO, OpenVDB, or OpenTimelineIO. /li liFamiliarity with Rez (package management) and/or Autodesk ShotGrid/Flow is beneficial. /li liComfortable working in a Linux development environment — bash scripting, common command-line tools (grep, find, sed, etc.). /li liExperience with Git or another version control system. /li liBasic understanding of relational or non-relational databases (e.g. PostgreSQL, MongoDB). /li liAwareness of containerization and deployment concepts (Docker, Kubernetes, or similar). /li liSome exposure to web service patterns (REST APIs preferred; GraphQL or RPC a bonus). /li liFamiliarity with a Python web framework (FastAPI, Flask, or Django) is a plus. /li liUnderstanding of CI/CD concepts; hands-on experience is a plus (GitLab or GitHub Actions preferred). /li liExperience with pytest or another Python testing framework. /li liBuild system knowledge (such as CMake) is a bonus. /li /ul pSkydance is a diversified media company founded by David Ellison in 2010 to create high quality, event-level entertainment for global audiences. The Company brings to life stories of immersive worlds across its feature film, television, interactive, and animation divisions. /p /p #J-18808-Ljbffr

Responsabilidades- Diseñar, desarrollar y desplegar aplicaciones y soluciones basadas en Inteligencia Artificial y Machine Learning.- Participar en todo el ciclo de vida del desarrollo de software, desde el diseño hasta la puesta en producción.- Construir soluciones robustas, mantenibles y escalables siguiendo las mejores prácticas de ingeniería de software.- Optimizar algoritmos y mejorar el rendimiento computacional de aplicaciones de IA.- Colaborar con científicos de datos, consultores y equipos de negocio para transformar necesidades funcionales en soluciones técnicas.- Guiar a perfiles no técnicos en buenas prácticas de desarrollo y arquitectura de software.- Desarrollar soluciones cloud‑native utilizando plataformas como AWS, Azure o Google Cloud.- Implementar pipelines de despliegue y automatización mediante herramientas DevOps.- Participar en iniciativas de innovación, investigación y generación de conocimiento en Inteligencia Artificial.- Colaborar con clientes internacionales en proyectos de transformación digital.Requisitos- Máster o Doctorado en Informática, Data Science, Estadística, Investigación Operativa o disciplinas afines.- Experiencia en desarrollo de software con Python y/o Java o Scala.- Conocimientos sólidos de Machine Learning y Deep Learning.- Experiencia con frameworks como TensorFlow, PyTorch, Scikit-learn o Keras.- Manejo de herramientas de procesamiento de datos como Pandas, NumPy, Apache Spark o Dask.- Experiencia trabajando en entornos Cloud (AWS, Azure o Google Cloud Platform).- Conocimientos de contenedores y DevOps (Docker, Kubernetes, Terraform, Jenkins).- Experiencia con APIs y despliegue de modelos mediante Flask, FastAPI, TensorFlow Serving o Streamlit.- Uso habitual de Git y herramientas colaborativas de desarrollo.- Capacidad para trabajar en entornos internacionales y multidisciplinares.- Nivel alto de español e inglés.Habilidades Duras- Software Development- Machine Learning- Deep Learning- Python- Java- Scala- TensorFlow- PyTorch- Scikit-learn- FlaskHabilidades Blandas- Collaboration- Communication- Guidance- Problem‑SolvingCertificaciones y Calificaciones- Máster o Doctorado en Informática- Data Science- Estadística- Investigación Operativa#J-18808-Ljbffr

pMRM Madrid is expanding its Data team by hiring a Technical Data Analyst to transform prototypes and notebooks into production-ready services, collaborate with the Advanced Analytics team, and deliver scalable analytics solutions. /ppYou will design robust data pipelines, optimize Python and SQL workloads, implement ETL/ELT processes with Airflow or dbt, and ensure deployment readiness with APIs (FastAPI/Flask) in a hybrid Madrid work model. /p #J-18808-Ljbffr

GRUPO TECOPY busca un profesional motivado para unirse a su equipo en Madrid y trabajar en proyectos innovadores que combinen inteligencia artificial y programación avanzada.Este puesto requiere al menos 2 años de experiencia en desarrollo con Python, así como conocimientos en tecnologías como Flask, TensorFlow y Java. Ofrecemos un ambiente colaborativo y flexibilidad horaria, permitiendo teletrabajo y un contrato indefinido.#J-18808-Ljbffr

Skydance offers a dynamic, inclusive, and ever-evolving culture where innovative ideas are welcomed, and growth fostered. The partnership between unique creativity and technological advancements are demonstrated within each pillar of the company. At the heart of it all is a commitment to boldly entertaining and relevant storytelling. Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación. While all Animation studios look to hire people who are creative and hard-working, Skydance Animation is specifically looking for pioneers who seek to push the limits of what the world’s most collaborative art form can achieve, and to give those pioneers the space and the resources to build a new studio that’s doing something different. For information on Skydance’s privacy practices, see theSkydance EU/UK PersonnelPrivacy Notice located at a Pipeline Engineer, you will contribute to the development, testing, and maintenance of software applications and libraries for the global feature animation pipeline. Working under the guidance of senior engineers and leads, you will help analyze workflows, implement new features, and support the team in day-to-day problem solving. This role is an opportunity to grow your technical skills and deepen your understanding of animation production pipelines in a collaborative studio environment. Responsibilities • Develops, tests, and documents features in the proprietary software used across concurrent film productions, under the direction of senior engineers and leads., • Assists in analyzing existing workflows and procedures related to the company pipeline., • Collaborates with IT infrastructure, Client Services, Wrangling, Production, and Show TD teams to help investigate and resolve issues with hardware, software products, or internal systems., • Supports end users in operating new or updated programs, including writing basic user documentation., • Stays informed on current trends in animation technology and tools relevant to the production pipeline., • Applies engineering best practices in code quality, version control, and testing., • Learns and works within established technical frameworks and architectural patterns set by the team., • Participates actively in team brainstorming and planning sessions, sharing ideas and asking thoughtful questions., • Communicates proactively with teammates and leads about task progress and any blockers encountered., • Follows the guidance of supervisors, senior engineers, and leads, and actively seeks feedback to improve., • Demonstrates a growth mindset and shows curiosity about both the technical and creative aspects of animation production., • Contributes to a positive and collaborative team environment.Requirements, • 3+ years of experience in software engineering, ideally in VFX, animation, or a related media/tech industry., • Exposure to animation or VFX production workflows is a plus but not required., • BS degree in Computer Science, or equivalent practical experience (3+ years) in a software engineering role., • Solid foundational engineering skills, with an understanding of code quality, readability, and maintainability., • Ability to contribute effectively within a team in a fast-paced, deadline-oriented environment., • Working knowledge of Python 3+ — ability to write clean, functional scripts and tools independently., • Familiarity with Agile workflows and task tracking tools such as Jira, daily standups, and sprint planning., • Basic familiarity with USD and its role in production pipelines; experience with integrations in DCC apps (Maya, Houdini/Solaris, Nuke) is a plus., • Some experience with PyQt or PySide for tool development., • Awareness of ASWF libraries such as OpenColorIO, OpenVDB, or OpenTimelineIO., • Familiarity with Rez (package management) and/or Autodesk ShotGrid/Flow is beneficial., • Comfortable working in a Linux development environment — bash scripting, common command-line tools (grep, find, sed, etc.)., • Experience with Git or another version control system., • Basic understanding of relational or non-relational databases (e.g. PostgreSQL, MongoDB)., • Awareness of containerization and deployment concepts (Docker, Kubernetes, or similar)., • Some exposure to web service patterns (REST APIs preferred; GraphQL or RPC a bonus)., • Familiarity with a Python web framework (FastAPI, Flask, or Django) is a plus., • Understanding of CI/CD concepts; hands-on experience is a plus (GitLab or GitHub Actions preferred)., • Experience with pytest or another Python testing framework., • Build system knowledge (such as CMake) is a bonus. Skydance is a diversified media company founded by David Ellison in 2010 to create high quality, event-level entertainment for global audiences. The Company brings to life stories of immersive worlds across its feature film, television, interactive, and animation divisions. Recruitment Fraud Alert It has come to our attention that there may be fraudulent activity by individuals impersonating our Talent Acquisition team. xcskxlj Skydance will only contact you from an official “@ ” email address. If you suspect that you are being contacted by an unauthorized person or believe that the correspondence you have received is suspicious, please do not click on any links or attachments in such emails and submit any questions or concerns to our information security team at J-18808-Ljbffr

AIM Sport is seeking an AI Backend Developer in Madrid to design and build intelligent backend services that integrate AI and LLMs into products. ¿Posee las habilidades y la experiencia adecuadas para este puesto? Siga leyendo para descubrirlo y envíe su solicitud. You will develop Python-based REST APIs (FastAPI/Flask/Django REST) and build scalable server-side architectures, while orchestrating AI pipelines and ensuring robust validation of AI outputs. xcskxlj You will work with embeddings, vector databases, and cloud platforms, implementing asynchronous processing and monitoring. #J-18808-Ljbffr

AI BACKEND DEVELOPER – MADRID Asegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato. We are looking for an AI Backend Developer with the drive and ability to be a key member of our young and versatile sports tech development team. We are a company that pioneers and develops new cutting‑edge technologies – we would love for you to join our team and play your part in revolutionising the sports industry! WHO ARE WE? AIM Sport is at the forefront of the sports marketing industry. We currently work in over 500 football stadiums across the globe, providing fresh and innovative solutions to our fast‑growing list of blue‑chip clients. This elite portfolio includes the world’s biggest football clubs and commercial partners: FIFA, UEFA, Real Madrid CF, Paris Saint‑Germain, Adidas, Audi, Heineken, Mastercard, and Sony to name just a few. We actively shape the digital revolution in sports marketing to drive the expansion and growth of our business as one of the top sports tech companies. WHAT WILL YOU BE DOING? You will design and build intelligent backend services that integrate AI and Large Language Models (LLMs) into our products. Your role focuses on developing Python‑based REST APIs that combine AI‑driven logic with deterministic, rule‑based workflows to deliver scalable and production‑ready solutions: • Design, develop, and maintain Python backend services and RESTful APIs (FastAPI / Flask / Django REST), • Build scalable, secure, and high‑performance server‑side architectures, • Integrate LLM and AI APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.) into backend workflows, • Design and implement prompt engineering strategies, orchestration layers, and AI pipelines, • Validate and structure AI outputs using Pydantic, JSON schemas, and post‑processing logic, • Implement rule‑based decision systems alongside AI‑generated outputs, • Work with embeddings and vector databases (FAISS, Pinecone, Weaviate, or similar) when required, • Optimize database queries, caching layers, and data pipelines to support AI‑driven features, • Implement async processing, background jobs, and task queues for long‑running AI tasks, • Add logging, monitoring, and error handling for backend and AI workflows, • Collaborate with product, frontend, and QA teams to deliver AI‑enabled functionality, • Troubleshoot production issues and perform root‑cause analysis DO YOU RECOGNIZE YOURSELF? KNOWLEDGE & SKILLS: • 2+ years of experience as a Python Backend Developer or similar role, • Strong proficiency in Python and backend frameworks (FastAPI, Flask, Django REST Framework), • Hands‑on experience integrating AI / LLM APIs into production systems, • Practical experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks, • Solid understanding of prompt engineering, response validation, and AI guardrails, • Experience handling structured AI outputs using Pydantic and JSON Schema, • Strong knowledge of RESTful API design, HTTP, authentication, and authorisation, • Solid understanding of SQL databases (PostgreSQL or MySQL), • Data processing experience using Pandas, NumPy, or similar libraries, • Familiarity with async programming, background processing, and task queues, • Experience with Docker and cloud platforms (AWS, GCP, or Azure), • Knowledge of CI/CD pipelines, deployment strategies, and monitoring tools, • Degree in Computer Science, Engineering, or a related field (or equivalent experience), • Good command of written and spoken English PERSONALITY: • Passionate about backend engineering and applied AI systems, • Curious about LLMs, automation, and emerging AI technologies, • Strong problem‑solver with an analytical mindset, • Quality‑focused and attentive to edge cases and failures, • Comfortable working in cross‑functional teams, • Proactive, adaptable, and eager to continuously learn and improve WHAT DRIVES THE PEOPLE WHO WORK AT AIM SPORT? xcskxlj • Challenging and rewarding environment, • Leading digital transformation within the sport marketing industry, • Partnering with international top clubs and major brands, • Fantastic team spirit, • Flexible working schedule, • Enjoying a great view of the Santiago Bernabéu Stadium! #J-18808-Ljbffr

ppbJoin us at Provectus as part of a team dedicated to building cutting‑edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. /b /p pWe are looking for a highly skilled Senior Python Developer with experience in generative AI to join our team. We build AI‑driven products, where you’ll develop and ship Python services and LLM features (including RAG, tools, and agents) on a daily basis — while leveraging AI across your entire workflow, from development to delivery. If you have a passion for AI and experience in building innovative solutions, we would love to hear from you. /p pbLet’s work together to build a better future for everyone! /b /p h3Responsibilities /h3 ul liBuild and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask /li liImplement and optimize Retrieval Augmented Generation (RAG) systems /li liProfile and optimize Python code to enhance performance /li liCollaborate with cross‑functional teams, including ML engineers and product managers, to deliver high‑quality products /li liWrite clean, maintainable, and well‑documented code /li liStay updated with the latest developments in Python and AI technologies and propose innovative solutions /li /ul h3Requirements /h3 ul liStrong proficiency in Python /li liSolid understanding of OOP, design patterns, and clean architecture /li liExperience building RESTful APIs with FastAPI, Django REST, or Flask /li liExperience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock) /li liExperience building RAG systems /li liProficiency with AI‑assisted development (Claude Code, Cursor, Copilot) /li liExperience with Docker and Kubernetes /li liUnderstanding of microservices and event‑driven architectures /li liExperience with AWS (Lambda, ECS, Bedrock, S3, SQS) /li liProficiency with SQL (Postgres), NoSQL (DynamoDB, Redis), and vector databases /li liStrong testing practices: pytest, mocking, integration tests for AI systems /li liExperience with observability tools (OpenTelemetry, structured logging) /li liEnglish: Upper‑Intermediate or higher /li liExcellent communication and problem‑solving skills /li /ul h3Nice to Have /h3 ul liExperience with agentic frameworks (LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK) /li liFamiliarity with prompt engineering and management at scale /li liExperience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval) /li liExperience with Streamlit or Gradio for AI prototyping /li liModern Python tooling (ruff, uv, pyproject.toml, pyright) /li liCI/CD pipeline experience (GitHub Actions, GitLab CI) /li liExperience in another language (Go, Node.js, Rust) /li /ul h3What We Offer /h3 ul liParticipate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications /li liWork with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work /li liLong‑term B2B collaboration /li li100% remote — with flexible hours /li liCollaboration with an international, cross‑functional team /li liComprehensive private medical insurance or budget for your medical needs /li liPaid sick leave, vacation, and public holidays /li liEquipment and all the tech you need for comfortable, productive work /li liSpecial gifts for weddings, childbirth, and other personal milestones /li /ul h3Interview Stages /h3 ul liRecruitment Interview /li liTech interview /li liHM Interview /li /ul pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr

pVISEO, con más de 20 años de experiencia como consultora tecnológica, busca un Python Software Engineer (APIs Azure) con inglés alto para Madrid. Desarrollarás, mantendrás e evolucionarás integraciones de datos dentro de una Customer Data Platform, enfocada en calidad, escalabilidad y automatización. /ppTe encargarás de APIs en Python (FastAPI, Flask), servicios backend sobre Azure (Azure Functions) y pipelines CI/CD con Azure DevOps, colaborando con Data Engineering y asegurando seguridad y /p #J-18808-Ljbffr

Overview PSI CRO Madrid, Community of Madrid, Spain ¡Inscríbase sin demora! Se espera un gran volumen de solicitantes para el puesto que se detalla a continuación, no espere para enviar su CV. PSI is a leading Contract Research Organization (CRO) with 30 years of experience in the pharmaceutical industry. Originated in Switzerland, PSI is a privately owned, full-service CRO with a global reach, supporting clinical trials across multiple countries and continents. Our reputation for being highly selective about the projects we undertake highlights our commitment to delivering high-quality, timely services across a broad spectrum of therapeutic indications. At PSI, we foster an environment where a diverse range of colleagues feel welcomed and valued. Our inclusive culture is a cornerstone of our success, enabling us to attract and retain top talent globally. We are not just about conducting clinical trials; we are about building a community where every team member has the opportunity to thrive and contribute to groundbreaking advancements in the pharmaceutical industry. Job Description We're looking for a full stack developer to join our growing Process Improvement team. If you're interested in AI solutions development and would like to further enhance your engineering skillset in a global company, then PSI might be the right choice for you. Full-time employment based in Spain Responsibilities • Architect, design, build, and maintain full-stack applications (web and desktop) using modern stacks (React, Next.js, Python, C#)., • Develop APIs, data models, workflows, and backend services using Python (FastAPI, Django) or optionally C#., • Work with PostgreSQL (and SQL generally) to design database schemas, optimize queries, and ensure reliability., • Write performant queries and manage schemas with PostgreSQL and SQL., • Integrate with cloud-native services on Azure (Azure App Services, Azure OpenAI, Cosmos DB, Pipelines)., • Work in Linux environments to set up local environments, scripts, services, and troubleshooting tools., • Create Docker containerized services, manage CI/CD pipelines through Azure Pipelines., • Use Jira (or Atlassian ecosystem) for issue tracking and Agile sprint execution., • Produce documentation and system diagrams: architecture, data flows, README files, onboarding guides., • Mentor other engineers, participate in code reviews, and support design decisions.Qualifications Must have: • Bachelor's degree in Computer Science or related discipline, • Minimum 5 years' experience in software development, • Cloud / Azure: Proven real-world experience with Azure (App Services, Pipelines, OpenAI or AI services), • Databases: Strong expertise in PostgreSQL and SQL (schema design, tuning, policies, migrations), • Languages & Frameworks:, • Advanced Python backend development (Flask, FastAPI, Django, etc.), • React and TypeScript frontend development (Next.js, preferably with ShadCN/UI or similar design systems), • Experience with Authentication and Callbacks, • Docker / Containerization: Experience building and deploying container-based services, • CI/CD: Hands-on experience with Azure Pipelines in production environments., • Project Tracking: Experience using Jira for Agile development workflows., • System Design & Documentation: Able to produce detailed design documents, readmes, API specs, and architecture diagrams. xcskxlj, • Security: Background working with security-first or compliance-regulated environments (e.g., finance, healthcare, or government) Plus: • Experience integrating AI/GenAI models or services (e.g. Azure OpenAI, LLMs, vector DBs, RAG workflows), • Experience in enterprise CI/CD governance and change control., • Prior roles collaborating with data science teams or AI research groups in an agile delivery contextAdditional Information, • Stable, privately-owned company, organically growing since 1995, • Comfortable office facilities with easy commute; opportunities to work office-based/hybrid/remote from Spain, • Intensive induction program, technical and industry-related trainings for an optimal start and continuous development, • Friendly and supportive atmosphere in a committed team, • International environment, with colleagues around the world, • Opportunities to quickly see the results of your work, • Attractive income package; performance-based bonuses; corporate benefits #J-18808-Ljbffr

ph3Company Description /h3pWith over 25 years of experience, we are trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier and reflect our commitment to continuous improvement. We work together to adapt to change and build a place where your potential meets your passion for pets. /ph3Job Description /h3pWe seek a Senior Python Software Engineer to join our Search team and bring new features to life while supporting our products' move to modern architecture. You will work closely with product owners, area architects, and your team members to clarify business needs and technical requirements, defining the best ways to support them. In close collaboration with other teams, you will introduce features and improvements to enhance the experience for more than 11 million customers. /ppAs a Senior Python Software Engineer in the Search team: /pp• Work in a challenging Agile environment with business owners and other teams.br/• Participate in technical and architectural discussions and decisions.br/• Develop and continuously deliver applications for one of Europe’s leading pet e-commerce platforms.br/• Manage the complete software development life cycle from discovery through coding, testing, deployment, and maintenance, continually learning and mastering state‑of‑the‑art technologies such as AWS, Microservices, Docker, and more. /ph3Your Responsibilities /h3ulliParticipate in solution investigation, estimation, planning, and alignment with other teams. /liliDesign, implement, and deliver new features for the Search Engine. /liliPromote and implement test automation (unit tests, integration tests, e2e tests, performance tests). /liliBuild and maintain CI/CD pipelines for continuous integration, development, testing, and deployment. /liliDeploy applications on the cloud using Docker, Kubernetes, AWS, and Terraform. /liliCollaborate in an agile environment, including code reviews, pair programming, knowledge sharing, and incident coordination. /liliMaintain existing applications and reduce technical debt. /li /ulh3Technologies Frameworks /h3ulliPython /liliElasticsearch /liliJavascript, React /liliOracle, PostgreSQL /liliCI/CD with Jenkins pipeline /liliAWS, Terraform, Docker, Kubernetes /liliGrafana, Sensu, ELK stack, C4 diagrams /liliGit, Scrum, Pair Programming, Peer Reviewing /li /ulh3Qualifications /h3ulliExperience with Elasticsearch. /liliGood understanding of data structures and clean code. /liliAbility to understand and apply design patterns. /liliInterest in DevOps philosophy. /lili5+ years of software development experience preferred. /liliExperience with Flask and FastAPI. /liliWillingness to learn on the job. /liliExperience with relational and non-relational databases. /liliFront-end development experience, preferably in React. /liliEmpathetic and able to build relationships. /liliGood verbal and written communication skills. /li /ulh3Additional Information /h3pHeadquartered in Munich, we have offices across Madrid, Krakow, Wroclaw, London and Vienna. You will work in a multinational team that values hybrid working, with 60% of your time in the office and 40% at home, with an option to work 20 days abroad in approved countries. Development opportunities, training, wellbeing offers, subsidised transport or bike leasing, and a 20% discount across all products support your personal growth and well‑being. /ph3Equal Opportunity Employer /h3pWe believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all. /p /p #J-18808-Ljbffr

About Alan Health can’t wait. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture. We already partner with 40 K+ companies of all sizes, serving more than 1 M+ members, and have reached €800 M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. The Engineering Team In our engineering team, we build the infrastructure, interfaces, and applications to provide first‑class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Stack Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, Postgre SQL, Redis, Terraform/Terramate, Datadog, Cloudflare, Git Hub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. Data Foundations crew - within the Tech Foundations area Mission Tech Foundations - enables product crews and creates the environment to thrive, combining world‑class infrastructure, intuitive developer experience, exquisite operational excellence, and built‑in security to make shipping exceptional products effortless. Data Foundations - is one of its crews. Its mission: be the enabling and platform team for data lifecycle and privacy engineering across Alan. It builds and runs the GDPR Orchestrator, the shared platform that lets every area manage the lifecycle of member data, privacy‑compliant by design, and it equips each area to own its own data rules on top of that platform. Scope Own and evolve the GDPR Orchestrator (build & run): the platform's core engine, its safety mechanisms (preview/dry‑run, audit trail), and its operational health (deploys, on‑call, observability). You design the contract areas build on and keep it reliable as adoption grows. Build the paved road (enable, teach to fish): docs, templates, and self‑serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them. Coordinate across areas (the cross‑area bridge): align legal, security, data, and the data‑producing areas on requirements, surface cross‑area data dependencies, and resolve design trade‑offs between them. You own the coordination; each area stays accountable for its own data and rules. Push the foundations forward: drive open platform design questions to a conclusion and grow the platform's capabilities as Alan's data, products, and footprint expand. Focus for 2026 Own the platform: become the long‑term owner of the GDPR Orchestrator and shape the roadmap for how Alan manages data lifecycle at scale. Raise the bar on the platform: invest in its safety, observability, and developer experience so areas build on it with confidence. Lay the paved road: ship the docs, templates, and tooling that let areas self‑serve, then move ownership of data rules to the areas that produce the data. Scale the surface: grow the platform's reach across data stores and third‑party systems as Alan expands into new countries. Is it you we're looking for? Experience we value Senior‑level experience (typically 8+ years) in backend or platform software engineering, or equivalent, with deep production ownership (API and contract design, data modeling, running what you ship). You’ve built and operated platforms, libraries, or services that other engineers depend on, and you care about the contract you expose to them. You’re comfortable operating across many teams and influencing without authority, getting alignment from legal, security, data, and product crews who don’t report to you. You bring pragmatism under constraint: you ship sound, safe solutions and improve them over time, rather than waiting for perfect. Strong plus: prior privacy, GDPR, or data‑governance exposure, and experience working in an enabling or platform‑team operating model. Explicitly not required: deep legal expertise. Legal and security partner with this role; they don’t get replacedby it. Mindset we value You treat platform engineering as product work : engineers and members are your customers, and doing the right thing with their data should feel effortless. You’re hands‑on : writing code is the bulk of the job (Python, Type Script). You ship what you write to production yourself, then operate it: rollouts, alerting, on‑call, incident response. You design and communicate : you’re as comfortable writing a framing doc, drawing a dependency map, and aligning several areas on a design decision as you are writing the code. You’re an enabler : you measure your impact by how fast areas run their own data rules without ever consulting you. The harder you’ve worked, the less they have to engage you. You build reusable patterns : guardrails, libraries, and safe‑by‑default abstractions that keep data handling correct and safe by design at scale. You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above the D level range. How we work Location: You must be legally eligible to work in France, Belgium, or Spain. Remote work: We offer remote work flexibility, but we value in‑person collaboration. Perks & Benefits Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high‑quality time with co‑workers. A strong culture and values guide our approach to work. #J-18808-Ljbffr

pulliFull-time /liliDepartment: Product Tech /liliJob Level: 07 /liliCompensation: EUR 45,400 - EUR 68,000 - yearly /li /ulh3Company Description /h3pWith over 25 years’ experience, plus the same enormous passion and ambition we had on day‑one, we’re trailblazers in the pet e‑commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus. /ph3Job Description /h3pWe seek a Senior Python Software Engineer to join our Search team and bring new features to life, and support our products' move to modern architecture. You will work closely with the product owner, area architect, and your team members to clarify business needs and technical requirements and define how to support them best. In close collaboration with other teams, your team will introduce new features and improvements to the process to provide a better experience for more than 11 million of our customers. /ppAs our Senior Python Software Engineer in the Search team: /pulliWith your Team and Product Owner, you will be working in a challenging Agile environment in close collaboration with other teams; /liliYou will participate in team’s technical/architectural discussions and decisions; /liliYou will develop and continuously deliver applications for one of the most successful pet e‑commerce platforms in Europe; /liliYou will participate in the complete software development life cycle from discovery through coding, testing, deployment and maintenance; /liliYou will learn and grow your skills daily, striving for mastery using state‑of‑the‑art technologies and practices such as AWS, Microservices, Docker, and more. /li /ulpAt the Search team, our primary responsibility is to design and further implement new features for the Search Engine and the Shop product Catalog API. /ppHere are several aspects of our team and work environment that contribute to a positive and fulfilling experience: /pulliWe work in self‑organized teams following Scrum methodology, respecting and valuing everyone’s opinion. /liliWe learn from each other and share knowledge through pair programming, code reviews, and many training opportunities. /liliWe deliver value by developing new features, maintaining existing products, and improving all the infrastructure we need, so we would also like to have a colleague who is cross‑functional. /liliWe are committed to delivering high‑quality products and believe that continuous delivery, clean code, and a DevOps mindset are key to achieving this goal. /liliOur team values a friendly and collaborative environment and greatly encourages open communication and teamwork. We believe in a team approach and do not assign blame; instead, we work together to build and maintain the system. /liliWe embrace diversity, having colleagues from over 50 countries. This means our working language is English. /li /ulpThese are some of the technologies/frameworks/practices we use: /pulliPython /liliElasticsearch /liliCI/CD with Jenkins pipeline /liliAWS and Terraform /liliGrafana, Sensu, ELK stack /liliInfrastructure as a code, one‑click deployment, C4 diagrams /liliAmazon Web Services and cloud deployments (S3, SNS, SQS, RDS, DynamoDB, etc.), using tools such as Terraform or AWS CLI /liliGit, Scrum, Pair Programming, Peer Reviewing /liliKibana, Grafana, Sensu /li /ulh3Your responsibilities /h3pbParticipate in solution investigation, estimations, planning, and alignment with other teams; /b /pulliDesign, implement, deliver and implement new features for the Search Engine /liliPromote and implement test automation (e.g: unit tests, integration tests, e2e tests and performance tests) /liliBuild and maintain CI/CD pipelines for continuous integration, development, testing and deployment. /liliDeploy applications on the cloud using technologies such as Docker, Kubernetes, AWS and Terraform. /liliWork closely with the team in an agile and collaborative environment. This will involve code reviews, pair programming, knowledge sharing, and incident coordination. /liliMaintain existing applications and reduce technical debt. /li /ulh3Qualifications /h3ulliExperience with Elasticsearch /liliGood understanding of data structures and clean code /liliAble to understand and apply design patterns /liliYou are interested in DevOps philosophy /lili5+ years of experience in software development is preferred /liliExperience with Flask, FastAPI /liliWilling to learn on the job /liliExperience with relational and non‑relational databases /liliFrontend development experience, preferably in React /liliEmpathetic and able to easily build relationships /liliGood verbal and written communication skills /li /ulh3Additional Information /h3pHeadquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together – you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There’s an option to work for 20 days abroad in approved countries too. /ppDevelopment opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you’ll begin to get a sense of what sets us apart. bFind out more about the specific benefits at your local office in our blog posts. /b /ppAt zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all. /p /p #J-18808-Ljbffr

About Alan Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación. Health can’t wait. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. The Engineering Team In our engineering team, we build the infrastructure, interfaces, and applications to provide first‑class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Stack Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. Data Foundations crew - within the Tech Foundations area Mission • Tech Foundations - enables product crews and creates the environment to thrive, combining world‑class infrastructure, intuitive developer experience, exquisite operational excellence, and built‑in security to make shipping exceptional products effortless., • Data Foundations - is one of its crews. Its mission: be the enabling and platform team for data lifecycle and privacy engineering across Alan. It builds and runs the GDPR Orchestrator, the shared platform that lets every area manage the lifecycle of member data, privacy‑compliant by design, and it equips each area to own its own data rules on top of that platform. Scope • Own and evolve the GDPR Orchestrator (build & run): the platform's core engine, its safety mechanisms (preview/dry‑run, audit trail), and its operational health (deploys, on‑call, observability). You design the contract areas build on and keep it reliable as adoption grows., • Build the paved road (enable, teach to fish): docs, templates, and self‑serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them., • Coordinate across areas (the cross‑area bridge): align legal, security, data, and the data‑producing areas on requirements, surface cross‑area data dependencies, and resolve design trade‑offs between them. You own the coordination; each area stays accountable for its own data and rules., • Push the foundations forward: drive open platform design questions to a conclusion and grow the platform's capabilities as Alan's data, products, and footprint expand. Focus for 2026 • Own the platform: become the long‑term owner of the GDPR Orchestrator and shape the roadmap for how Alan manages data lifecycle at scale., • Raise the bar on the platform: invest in its safety, observability, and developer experience so areas build on it with confidence., • Lay the paved road: ship the docs, templates, and tooling that let areas self‑serve, then move ownership of data rules to the areas that produce the data., • Scale the surface: grow the platform's reach across data stores and third‑party systems as Alan expands into new countries. Is it you we're looking for? Experience we value • Senior‑level experience (typically 8+ years) in backend or platform software engineering, or equivalent, with deep production ownership (API and contract design, data modeling, running what you ship)., • You’ve built and operated platforms, libraries, or services that other engineers depend on, and you care about the contract you expose to them., • You’re comfortable operating across many teams and influencing without authority, getting alignment from legal, security, data, and product crews who don’t report to you., • You bring pragmatism under constraint: you ship sound, safe solutions and improve them over time, rather than waiting for perfect., • Strong plus: prior privacy, GDPR, or data‑governance exposure, and experience working in an enabling or platform‑team operating model., • Explicitly not required: deep legal expertise. Legal and security partner with this role; they don’t get replaced by it. Mindset we value • You treat platform engineering as product work: engineers and members are your customers, and doing the right thing with their data should feel effortless., • You’re hands‑on: writing code is the bulk of the job (Python, TypeScript). You ship what you write to production yourself, then operate it: rollouts, alerting, on‑call, incident response., • You design and communicate: you’re as comfortable writing a framing doc, drawing a dependency map, and aligning several areas on a design decision as you are writing the code., • You’re an enabler: you measure your impact by how fast areas run their own data rules without ever consulting you. The harder you’ve worked, the less they have to engage you., • You build reusable patterns: guardrails, libraries, and safe‑by‑default abstractions that keep data handling correct and safe by design at scale., • You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above the D level range. How we work • Location: You must be legally eligible to work in France, Belgium, or Spain., • Remote work: We offer remote work flexibility, but we value in‑person collaboration. Perks & Benefits Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high‑quality time with co‑workers. xcskxlj A strong culture and values guide our approach to work. #J-18808-Ljbffr

Impulsar el diseño y desarrollo de aplicaciones y servicios de IA que integren modelos de lenguaje (LLMs) y capacidades de IA Generativa en entornos cloud (Azure/AWS/GCP), con prácticas de ingeniería modernas (CI/CD, testing, observabilidad, seguridad) para llevar a producción soluciones robustas (RAG, agentes, automatización de procesos) alineadas con marcos de entrega confiable de GenAI. • Diseñar y desarrollar servicios backend (REST/GraphQL) y microservicios que integren LLMs (Azure OpenAI, OpenAI, Vertex AI, Amazon Bedrock) y herramientas/funciones para ejecutar acciones sobre APIs internas/externas., • Construir pipelines de RAG (ingesta, chunking, embeddings, almacenamiento vectorial, retrieval) y agentes con orquestadores (LangChain, LlamaIndex, Semantic Kernel, u otros) y mecanismos de tool/function calling., • Implementar CI/CD (GitHub Actions, GitLab CI, Azure DevOps, Jenkins), contenedores (Docker, Kubernetes) y observabilidad (logging, métricas, tracing)., • Asegurar calidad: TDD/BDD, pruebas unitarias/contract/integración; definir gateways de calidad (linting, SAST/DAST, escaneo de dependencias)., • Aplicar LLMOps/MLOps: versionado de prompts y artefactos, evaluación de calidad (exactitud, groundedness, toxicity), monitorización (latencia, coste, drift), y guardrails (políticas, contenidos, PII)., • Colaborar con arquitectura, datos, seguridad y negocio para aterrizar requisitos no funcionales (escalabilidad, resiliencia, coste) y gobierno/ética de IA (acceso a datos, cumplimiento)., • Documentar decisiones (ADRs), elaborar playbooks reutilizables y apoyar revisiones de código y mentoring de perfiles más junior., • Contribuir a aceleradores internos y componentes reutilizables alineados con los marcos de capacidades de Data & AI., • Sólida base de ingeniería de software (3–7+ años, según seniority): diseño de APIs, patrones de integración, concurrencia/asíncrono, buenas prácticas de código (Clean Code, SOLID)., • Experiencia en Python y frameworks backend (FastAPI, Flask, Express, etc.)., • Git avanzado (branching model, pull requests, code review) y CI/CD en alguno de: GitHub Actions / GitLab CI / Azure DevOps / Jenkins., • Cloud (al menos una: Azure, AWS o GCP) con despliegue de cargas en contenedor (Docker; deseable Kubernetes)., • Integración con servicios de GenAI/LLMs (Azure OpenAI, OpenAI, Vertex AI, Bedrock): consumo de APIs, autenticación, gestión de costes y límites, prompting y evaluación básica., • Conocimientos prácticos de RAG (embeddings, vector stores como FAISS, pgvector, Pinecone) y orquestadores (LangChain/LlamaIndex/Semantic Kernel)., • Testing (unit/integration/contract), monitorización (p. ej., OpenTelemetry), y seguridad básica de APIs (OAuth2/OIDC, secretos, rate limiting)., • Inglés profesional (trabajo con documentación y equipos internacionales)., • LLMOps/MLOps: MLflow, Weights & Biases, Prompt Flow/Azure AI Studio evals, experiment tracking y dashboards de evaluación., • Mentalidad de producto y obsesión por la calidad en producción., • Colaboración con equipos multidisciplinares (arquitectura, datos, seguridad, negocio)., • Aprendizaje continuo en un entorno muy dinámico (nuevos modelos, frameworks, evaluaciones)., • Comunicación clara y documentación de decisiones., • Infra as Code (Terraform), Kubernetes avanzado (ingress, autoscaling, service mesh), event driven (Pub/Sub, Kafka)., • Observabilidad y fiabilidad: SLO/SLA, alerting, caídas controladas, chaos testing., • Seguridad y cumplimiento en GenAI: redacción de guardrails, filtrado de PII, controles de contenido., • Experiencia con Agentic AI (planificación, herramientas, memoria, equipos de agentes). Valoramos todas las candidaturas y ofrecemos formación presencial, online y certificaciones. Aunque no cumplas el 100 % de los requisitos, queremos conocerte. ¿Qué te gustará de trabajar aquí? • Proyectos variados y desafiantes: retos multisectoriales, evitando la rutina., • Flexibilidad y modelo híbrido: equilibrio vida‑trabajo., • Aprendizaje continuo: formación en cloud, data governance, IA generativa., • Diversidad de clientes e innovación constante., • Entornos colaborativos e inclusivos., • Crecimiento profesional y “challenge” técnico: autonomía, mentoring, certificaciones. Capgemini es un socio global en transformación empresarial y tecnológica, con 340 000 profesionales en más de 50 países y más de 55 años de trayectoria. Ofrecemos servicios y soluciones end‑to‑end que abarcan estrategia, diseño, ingeniería, IA, cloud y datos, con profundo conocimiento sectorial y ecosistema de partners. #J-18808-Ljbffr

Job Description Elegir Capgemini significa elegir una empresa donde tendrás la libertad de diseñar tu carrera profesional como desees, con el respaldo y la inspiración de una comunidad colaborativa de colegas en todo el mundo. Aquí podrás reinventar lo que es posible. Únete a nosotros y ayuda a las organizaciones líderes en el mundo a descubrir el valor de la tecnología y construir un mundo más sostenible e inclusivo. Tenemos un equipo de Data & AI que estará encantado de contar contigo. ¿Te apetece sumarte? Descripción breve ¿Qué harás en el proyecto? ¿Cuál será tu rol? • Impulsar el diseño y desarrollo de aplicaciones y servicios de IA que integren modelos de lenguaje (LLMs) y capacidades de IA Generativa en entornos cloud (Azure/AWS/GCP), con prácticas de ingeniería modernas (CI/CD, testing, observabilidad, seguridad) para llevar a producción soluciones robustas (RAG, agentes, automatización de procesos) alineadas con marcos de entrega confiable de GenAI • Diseñar y desarrollar servicios backend (REST/GraphQL) y microservicios que integren LLMs (Azure OpenAI, OpenAI, Vertex AI, Amazon Bedrock) y herramientas/funciones para ejecutar acciones sobre APIs internas/externas. • Construir pipelines de RAG (ingesta, chunking, embeddings, almacenamiento vectorial, retrieval) y agentes con orquestadores (LangChain, LlamaIndex, Semantic Kernel, u otros) y mecanismos de tool/function calling. • Implementar CI/CD (GitHub Actions, GitLab CI, Azure DevOps, Jenkins), contenedores (Docker, Kubernetes) y observabilidad (logging, métricas, tracing). • Asegurar calidad: TDD/BDD, pruebas unitarias/contract/integración; definir gateways de calidad (linting, SAST/DAST, escaneo de dependencias). • Aplicar LLMOps/MLOps: versionado de prompts y artefactos, evaluación de calidad (exactitud, groundedness, toxicity), monitorización (latencia, coste, drift), y guardrails (políticas, contenidos, PII). • Colaborar con arquitectura, datos, seguridad y negocio para aterrizar requisitos no funcionales (escalabilidad, resiliencia, coste) y gobierno/ética de IA (acceso a datos, cumplimiento). • Documentar decisiones (ADRs), elaborar playbooks reutilizables y apoyar revisiones de código y mentoring de perfiles más junior. • Contribuir a aceleradores internos y componentes reutilizables alineados con los marcos de capacidades de Data & AI. Descripción larga Para sentirte a gusto en la posición se requieren conocimientos en/de: • Sólida base de ingeniería de software (3–7+ años, según seniority): diseño de APIs, patrones de integración, concurrencia/asíncrono, buenas prácticas de código (Clean Code, SOLID). • Experiencia en Python y frameworks backend (FastAPI, Flask, Express, etc.). • Git avanzado (branching model, pull requests, code review) y CI/CD en alguno de: GitHub Actions / GitLab CI / Azure DevOps / Jenkins. • Cloud (al menos una: Azure, AWS o GCP) con despliegue de cargas en contenedor (Docker; deseable Kubernetes). • Integración con servicios de GenAI/LLMs (Azure OpenAI, OpenAI, Vertex AI, Bedrock): consumo de APIs, autenticación, gestión de costes y límites, prompting y evaluación básica. • Conocimientos prácticos de RAG (embeddings, vector stores como FAISS, pgvector, Pinecone) y orquestadores (LangChain/LlamaIndex/Semantic Kernel). • Testing (unit/integration/contract), monitorización (p. ej., OpenTelemetry), y seguridad básica de APIs (OAuth2/OIDC, secretos, rate limiting). • Inglés profesional (trabajo con documentación y equipos internacionales). • LLMOps/MLOps: MLflow, Weights & Biases, Prompt Flow/Azure AI Studio evals, experiment tracking y dashboards de evaluación. • Mentalidad de producto y obsesión por la calidad en producción. • Colaboración con equipos multidisciplinares (arquitectura, datos, seguridad, negocio). • Aprendizaje continuo en un entorno muy dinámico (nuevos modelos, frameworks, evaluaciones). • Comunicación clara y documentación de decisiones. Además sería estupendo si tienes experiencia en: • Infra as Code (Terraform), Kubernetes avanzado (ingress, autoscaling, service mesh), event driven (Pub/Sub, Kafka). • Observabilidad y fiabilidad: SLO/SLA, alerting, caídas controladas, chaos testing. • Seguridad y cumplimiento en GenAI: redacción de guardrails, filtrado de PII, controles de contenido. • Experiencia con Agentic AI (planificación, herramientas, memoria, equipos de agentes). Descripción breve Valoramos todas las candidaturas y ofrecemos formación presencial, online y certificaciones. Aunque no cumplas el 100% de los requisitos, ¡queremos conocerte! ¿Qué te gustará de trabajar aquí? - Proyectos variados y desafiantes: Trabajarás en retos multisectoriales, evitando la rutina y exponiéndote a tecnologías diversas. - Flexibilidad y modelo híbrido: Cultura orientada al equilibrio vida trabajo. - Aprendizaje continuo: o Formación en tecnologías cloud, data governance, visualización… o Participación real en proyectos con IA generativa, Business AI y tecnologías emergentes del dato. - Diversidad de clientes e innovación constante: Proyectos de impacto real con organizaciones líderes. - Entornos colaborativos e inclusivos: Equipos dinámicos, multiculturales y orientados al crecimiento. - Crecimiento profesional y “challenge” técnico: Autonomía, mentoring, certificaciones y oportunidades de ampliar tu rol dentro del área de Data & AI. ¿Por qué Capgemini? Nuestros compromisos y prioridades Capgemini es un socio global en transformación empresarial y tecnológica, que ayuda a las organizaciones a acelerar su doble transición hacia un mundo digital y sostenible, generando un impacto tangible tanto en las empresas como en la sociedad. Somos un grupo responsable y diverso formado por 340.000 profesionales en más de 50 países. Con una sólida trayectoria de más de 55 años, nuestros clientes confían en nosotros para aprovechar el valor de la tecnología y dar respuesta a todas sus necesidades de negocio. Ofrecemos servicios y soluciones end to end que abarcan desde la estrategia y el diseño hasta la ingeniería, impulsados por nuestras capacidades líderes en IA, IA generativa, cloud y datos, junto con un profundo conocimiento sectorial y un sólido ecosistema de partners. MAKE IT REAL. ¡Únete al equipo! www.capgemini.com/es-es

Somos Glintt Global, una compañía de referencia en Consultoría y Servicios Tecnológicos en la Península Ibérica, con más de 30 años de experiencia impulsando la transformación digital a través de la innovación, la tecnología y el conocimiento.Actualmente buscamos incorporar un/a Tech Lead – ML/AI Engineering para unirse a nuestro equipo de Data & AI.Tendrás la oportunidad de liderar proyectos innovadores de Inteligencia Artificial, trabajando con tecnologías punteras en Machine Learning, Deep Learning y Generative AI, colaborando en el diseño y desarrollo de soluciones escalables para clientes nacionales e internacionales.Buscamos un perfil con visión técnica, capacidad de liderazgo y pasión por la innovación, que quiera formar parte de un entorno dinámico, colaborativo y orientado a construir soluciones AI con impacto real en negocio.¿Cómo será tu día a día en Glintt Next?- Liderarás el diseño técnico y la arquitectura de soluciones avanzadas de Machine Learning e Inteligencia Artificial, desde la definición del problema hasta su despliegue en producción.- Participarás en proyectos de Predictive Analytics, Deep Learning, Computer Vision, NLP y Generative AI.- Desarrollarás soluciones basadas en LLMs, RAG, embeddings y sistemas multiagente utilizando tecnologías punteras del ecosistema AI.- Trabajarás de forma hands‑on en el desarrollo de modelos, pipelines de entrenamiento, APIs e inferencia.- Definirás arquitecturas escalables, reutilizables y orientadas a entornos productivos.- Colaborarás estrechamente con equipos de Data Engineering, MLOps, negocio y producto para garantizar entregas end-to-end de alta calidad.- Participarás activamente en procesos de preventa, colaborando con equipos comerciales y stakeholders en la identificación de oportunidades, definición de soluciones técnicas, estimaciones y elaboración de propuestas para clientes.- Tendrás un papel clave en workshops, sesiones de discovery y presentaciones técnicas, actuando como referente técnico frente al cliente.- Ayudarás a transformar necesidades de negocio en soluciones AI innovadoras y escalables con impacto real.- Impulsarás buenas prácticas de desarrollo, observabilidad, monitorización y despliegue de sistemas AI.- Mentorizarás a perfiles técnicos del equipo y contribuirás al crecimiento y evolución del área de Data & AI.- Formarás parte de un entorno internacional, dinámico y altamente tecnológico, trabajando con las últimas tendencias en Inteligencia Artificial.¿Qué buscamos en ti?- Más de 6 años de experiencia en proyectos de Data, Machine Learning o Inteligencia Artificial.- Experiencia liderando proyectos AI/ML end-to-end en entornos productivos.- Sólidos conocimientos en:- Machine Learning y Predictive Analytics- Deep Learning- Generative AI, LLMs y arquitecturas RAG- Computer Vision y/o NLP- Experiencia desarrollando soluciones escalables y orientadas a producción.- Nivel avanzado de Python y experiencia con frameworks como PyTorch, TensorFlow o scikit-learn.- Conocimientos en APIs y desarrollo de microservicios (FastAPI, Flask).- Experiencia trabajando en entornos cloud (AWS, Azure o GCP).- Conocimientos de MLOps / LLMOps, CI/CD, Docker y Kubernetes.- Capacidad para definir arquitecturas técnicas y tomar decisiones estratégicas.- Experiencia colaborando con clientes y participando en iniciativas de preventa y definición de soluciones.- Perfil proactivo, con capacidad de liderazgo, comunicación y orientación a negocio.- Nivel alto de inglés, tanto hablado como escrito.#J-18808-Ljbffr

5 days ago Be among the first 25 applicants Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción. Can you imagine your expertise driving transformative solutions in the pharmaceutical industry? This could be the opportunity you’ve been waiting for! At ERNI, we invite you to join a transformative project in the realm of data‑driven decision‑making for the Pharma sector. Collaborate with professionals in a dynamic environment that values agility, autonomy, and real impact. What Makes This Project Unique? This project combines technological challenges, social relevance, and engineering depth. You’ll play a crucial role in developing a robust backend system that integrates machine learning algorithms to enhance operational efficiency in clinical trials and medication production. Your work will directly contribute to transforming operational data into actionable insights that support critical business decisions. How We Support Your Growth • Certifications: We cover the costs, and you can earn rewards for technical achievements., • Knowledge Sharing: Participate in communities, training sessions, and expert meetups., • Real Experience: Gain experience in regulated environments and cross‑functional collaboration. What You’ll Bring • Strong experience in backend development using Python, particularly with frameworks like FastAPI or Flask., • Proficiency in machine learning concepts and practical experience., • Familiarity with data extraction and manipulation from databases like Snowflake and SQL., • Experience in building user interfaces with Streamlit to create interactive data visualizations and dashboards., • Understanding of DevOps practices, including Docker, CI/CD, and cloud platforms (AWS/Azure)., • Excellent problem‑solving skills and the ability to work collaboratively in a team environment. What You’ll Do • Develop and maintain the backend of the applications, ensuring seamless integration with machine learning models., • Collaborate with data engineers and business intelligence teams to ensure data reliability and security., • Implement APIs for data retrieval and interaction with frontend applications built on Streamlit., • Monitor and optimize the performance of machine learning algorithms in production. Our Working Model Hybrid with hands‑on collaboration. Enjoy: • Private health and travel insurance, • Full coverage for sick leave, • Monthly team lunches paid by the company, • Special team‑building activities, • Gym discounts + sports compensation, • Flexible benefits: meals, transport, childcare, etc., • Referral bonuses for successful candidate placements, • Remote work compensation: hardware + home office expenses, • 23 working days of vacation, • Free language courses: English, Spanish, German, and Catalan. Salary We discuss it during the first call. xcskxlj If it’s important to you, feel free to ask! Location Madrid, Community of Madrid, Spain WOULD YOU LIKE TO BECOME PART OF OUR TEAM? APPLY NOW! Seniority level • Not Applicable Employment type • Other Job function • Engineering and Information Technology Industries • IT Services and IT Consulting #J-18808-Ljbffr

pSwiftCruit busca un Desarrollador/a Senior Fullstack Python para unirse a su equipo. El candidato ideal deberá contar con más de 5 años de experiencia en desarrollo de software, en especial en la creación de soluciones backend y APIs. Se ofrecerá un entorno de trabajo remoto con oportunidades de crecimiento y aprendizaje continuo. /ppLas tecnologías clave incluyen Python, FastAPI, Flask, y experiencia en entornos Azure y tecnologías frontend como React. Además, se valorará el conocimiento en desarrollo Java. /p #J-18808-Ljbffr

ppSomos Glintt Global, una compañía de referencia en Consultoría y Servicios Tecnológicos en la Península Ibérica, con más de 30 años de experiencia impulsando la transformación digital a través de la innovación, la tecnología y el conocimiento. /p pActualmente buscamos incorporar un/a bTech Lead – ML/AI Engineering /b para unirse a nuestro equipo de Data AI. /p pTendrás la oportunidad de liderar proyectos innovadores de Inteligencia Artificial, trabajando con tecnologías punteras en Machine Learning, Deep Learning y Generative AI, colaborando en el diseño y desarrollo de soluciones escalables para clientes nacionales e internacionales. /p pBuscamos un perfil con visión técnica, capacidad de liderazgo y pasión por la innovación, que quiera formar parte de un entorno dinámico, colaborativo y orientado a construir soluciones AI con impacto real en negocio. /p h3¿Cómo será tu día a día en Glintt Next? /h3 ul lipLiderarás el diseño técnico y la arquitectura de soluciones avanzadas de Machine Learning e Inteligencia Artificial, desde la definición del problema hasta su despliegue en producción. /p /li lipParticiparás en proyectos de Predictive Analytics, Deep Learning, Computer Vision, NLP y Generative AI. /p /li lipDesarrollarás soluciones basadas en LLMs, RAG, embeddings y sistemas multiagente utilizando tecnologías punteras del ecosistema AI. /p /li lipTrabajarás de forma hands‑on en el desarrollo de modelos, pipelines de entrenamiento, APIs e inferencia. /p /li lipDefinirás arquitecturas escalables, reutilizables y orientadas a entornos productivos. /p /li lipColaborarás estrechamente con equipos de Data Engineering, MLOps, negocio y producto para garantizar entregas end-to-end de alta calidad. /p /li lipParticiparás activamente en procesos de preventa, colaborando con equipos comerciales y stakeholders en la identificación de oportunidades, definición de soluciones técnicas, estimaciones y elaboración de propuestas para clientes. /p /li lipTendrás un papel clave en workshops, sesiones de discovery y presentaciones técnicas, actuando como referente técnico frente al cliente. /p /li lipAyudarás a transformar necesidades de negocio en soluciones AI innovadoras y escalables con impacto real. /p /li lipImpulsarás buenas prácticas de desarrollo, observabilidad, monitorización y despliegue de sistemas AI. /p /li lipMentorizarás a perfiles técnicos del equipo y contribuirás al crecimiento y evolución del área de Data AI. /p /li lipFormarás parte de un entorno internacional, dinámico y altamente tecnológico, trabajando con las últimas tendencias en Inteligencia Artificial. /p /li /ul h3¿Qué buscamos en ti? /h3 ul lipMás de 6 años de experiencia en proyectos de Data, Machine Learning o Inteligencia Artificial. /p /li lipExperiencia liderando proyectos AI/ML end-to-end en entornos productivos. /p /li lipSólidos conocimientos en: /pul lipMachine Learning y Predictive Analytics /p /li lipDeep Learning /p /li lipGenerative AI, LLMs y arquitecturas RAG /p /li lipComputer Vision y/o NLP /p /li /ul /li lipExperiencia desarrollando soluciones escalables y orientadas a producción. /p /li lipNivel avanzado de Python y experiencia con frameworks como PyTorch, TensorFlow o scikit-learn. /p /li lipConocimientos en APIs y desarrollo de microservicios (FastAPI, Flask). /p /li lipExperiencia trabajando en entornos cloud (AWS, Azure o GCP). /p /li lipConocimientos de MLOps / LLMOps, CI/CD, Docker y Kubernetes. /p /li lipCapacidad para definir arquitecturas técnicas y tomar decisiones estratégicas. /p /li lipExperiencia colaborando con clientes y participando en iniciativas de preventa y definición de soluciones. /p /li lipPerfil proactivo, con capacidad de liderazgo, comunicación y orientación a negocio. /p /li lipNivel alto de inglés, tanto hablado como escrito. /p /li /ul /p #J-18808-Ljbffr

Join us at Provectus as part of a team dedicated to building cutting‑edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. We are looking for a highly skilled Senior Python Developer with experience in generative AI to join our team. We build AI‑driven products, where you’ll develop and ship Python services and LLM features (including RAG, tools, and agents) on a daily basis — while leveraging AI across your entire workflow, from development to delivery. If you have a passion for AI and experience in building innovative solutions, we would love to hear from you. Let’s work together to build a better future for everyone! Responsibilities Build and optimize RESTful APIs and servers using frameworks such as Fast API, Django REST, or Flask Implement and optimize Retrieval Augmented Generation (RAG) systems Profile and optimize Python code to enhance performance Collaborate with cross‑functional teams, including ML engineers and product managers, to deliver high‑quality products Write clean, maintainable, and well‑documented code Stay updated with the latest developments in Python and AI technologies and propose innovative solutions Requirements Strong proficiency in Python Solid understanding of OOP, design patterns, and clean architecture Experience building RESTful APIs with Fast API, Django REST, or Flask Experience with LLM APIs (Open AI, Anthropic, or AWS Bedrock) Experience building RAG systems Proficiency with AI‑assisted development (Claude Code, Cursor, Copilot) Experience with Docker and Kubernetes Understanding of microservices and event‑driven architectures Experience with AWS (Lambda, ECS, Bedrock, S3, SQS) Proficiency with SQL (Postgres), No SQL (Dynamo DB, Redis), and vector databases Strong testing practices: pytest, mocking, integration tests for AI systems Experience with observability tools (Open Telemetry, structured logging) English: Upper‑Intermediate or higher Excellent communication and problem‑solving skills Nice to Have Experience with agentic frameworks (Lang Chain, Llama Index, Lang Graph, Open AI Agents SDK) Familiarity with prompt engineering and management at scale Experience with LLM evaluation frameworks (RAGAS, custom metrics, deepeval) Experience with Streamlit or Gradio for AI prototyping Modern Python tooling (ruff, uv, pyproject.Toml, pyright) CI/CD pipeline experience (Git Hub Actions, Git Lab CI) Experience in another language (Go, Node.Js, Rust) What We Offer Participate in internal training programs (Leadership, Public Speaking, etc.) with full support for AWS and other professional certifications Work with the latest AI tools, premium subscriptions, and the freedom to use them in your daily work Long‑term B2 B collaboration 100% remote — with flexible hours Collaboration with an international, cross‑functional team Comprehensive private medical insurance or budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work Special gifts for weddings, childbirth, and other personal milestones Interview Stages Recruitment Interview Tech interview HM Interview We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.We are seeking a skilled Python full stack engineer to join one of our agile development teams in our ML AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable applications across the front and backend in a DevOps environment. You’ll contribute throughout the entire development lifecycle—from concept to deployment—and collaborate closely with cross-functional teams to deliver high-quality, modern digital solutions powered by React and Python.YOUR CHALLENGEDesign, develop, and deliver AI based full stack applications that address complex business needsBuild dynamic and responsive frontends using React, ensuring excellent user experience and performanceDevelop robust and scalable backend services with Python (e.g., FastAPI, Flask, or Django) to handle application logic and data workflowsIntegrate frontend, backend, and database layers seamlessly to ensure smooth data flow and maintainable architectureImplement and optimize API endpoints and data pipelines to support business processes and analytics needsTest, debug, and optimize components across the stack to ensure code quality, security, and performanceCollaborate with UX designers, product managers, and other developers to deliver reliable and maintainable solutionsParticipate in code reviews, continuous integration, and deployment processes to ensure high-quality delivery standardsContinuously explore and adopt modern frameworks, tools, and best practices to enhance development efficiency and maintainabilityYOUR PROFILEStrong problem-solving and analytical skills, with the ability to think critically and creatively about complex challengesExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organizationAbility to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on scheduleContinuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligenceAttention to detail and commitment to producing high-quality, reliable, and maintainable codeBachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related fieldStrong programming skills in Python, with experience developing and maintaining backend services (e.g., FastAPI, Flask, or Django)Proven experience building modern web frontends using React, including component-based architecture, state management, and responsive designSolid understanding of relational databasesGood grasp of API design principles (RESTful or GraphQL), integration patterns, and data exchange between frontend, backend, and database layersFamiliarity with CI/CD pipelines, version control (Git), automated testing, and code review practicesKnowledge of software design principles, including modularity, scalability, maintainability, and security best practicesExcellent problem-solving and debugging skills, with the ability to quickly identify and resolve issues across the stackRelevant work experience in fullstack development or related software engineering roles in AI contextWe are looking forward to receiving your full job application through our online application tool.br#J-18808-Ljbffr

ppProvectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS. /p pWe are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience. Someone who ships Python services, RAG systems, tools, and agents daily, with AI embedded across their entire workflow. /p pYou might be an experienced SA ready to hit the ground running, or a Senior Engineer and Tech Lead ready to step into that role. Either way, you will own the technical vision, lead discovery, drive architecture decisions, and become the authority clients and teams rely on. /p h3What You’ll Do /h3 ul liWrite clean, production‑grade Python across AI integrations, backend services, and RESTful APIs /li liImplement and optimize RAG systems for production use cases /li liDesign and build LLM‑based and agentic AI solutions that address real client business challenges /li liOwn the technical direction of client engagements from discovery through delivery /li liSupport presales: discovery calls, technical proposals, scoping, and client‑facing demos /li liLead architecture reviews, produce technical design documents, and contribute to standards across the Python practice /li liMentor engineers, lead code reviews, and share knowledge across the team /li liBuild and maintain strong relationships with key client stakeholders as a trusted technical advisor /li /ul h3What You’ll Bring /h3 h3Mindset /h3 ul liFull‑stack mindset, comfortable across AI, backend development, and cloud infrastructure /li liAlready using AI tools in your daily workflow (Claude Code, Copilot, or similar) /li liProactive and self‑directed; you own outcomes end‑to‑end and spot problems before they’re handed to you /li liB2+ English, comfortable collaborating across distributed, multicultural teams /li /ul h3Presales Client Engagement /h3 ul liOwns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn’t match timeline or budget /li liProduces scoped, phased delivery plans with clear deliverables, dependencies, and risks /li liExperience with cost estimation and cloud architecture cost optimization /li /ul h3Python, AI Cloud /h3 ul li7+ years building and running production systems not only demos and POCs /li liStrong understanding of AI/ML concepts and experience integrating AI/ML components into solutions /li liStrong Python proficiency: OOP, design patterns, clean architecture, and performance optimization /li liExperience building RESTful APIs with FastAPI, Django REST, or Flask /li liExperience making and defending architectural trade‑off decisions: microservices vs monolith, sync vs event‑driven, SQL vs NoSQL /li liStrong testing practices: pytest, mocking, and integration tests for AI systems /li liExperience with Docker and Kubernetes /li liHands‑on experience building production LLM‑based applications and agentic workflows /li liExperience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock) /li liExperience building and optimizing RAG systems /li liUnderstanding of LLM evaluation techniques and quality assurance approaches /li liExperience deploying and maintaining AI/ML models in production environments /li liHands‑on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered /li liExperience with React/Vue /li liAWS and Claude Code Certifications /li /ul h3Nice to Have /h3 ul liExperience with Streamlit or Gradio for AI prototyping /li liModern Python tooling (ruff, uv, pyproject.toml, pyright) /li liCI/CD pipeline experience (GitHub Actions, GitLab CI) /li liExperience in an additional language (Go, Node.js, or Rust) /li liFront‑end experience /li /ul h3What We Offer /h3 ul liOpportunity to work with cutting‑edge AI and cloud solutions /li liInternal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications /li liCareer growth: a clear path toward SA or beyond; we actively develop our engineers /li liAccess to the latest AI tools and premium subscriptions /li liLong‑term B2B collaboration /li liRemote with flexible hours /li liPrivate medical insurance or a budget for your medical needs /li liPaid sick leave, vacation, and public holidays /li liEquipment and all the tech you need for comfortable, productive work /li /ul pWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. /p /p #J-18808-Ljbffr

About Alan Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado. Alan is building a vertically integrated health partner that unites insurance and smart health‑care delivery into one seamless system. Our vision is to make prevention the new norm of care for everyone. Our mission Help people live in good health to 100 while helping employers feel proud by turning health benefits from a cost centre into their most valuable investment. Values & Principles • Mission is the Boss — We think long‑term and are methodical optimists who take risks, seeking our mission's success above all else., • Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results., • Radical Transparency — All information is accessible and written‑first, so everyone can make the best decisions asynchronously., • Always Growing — Direct, positive, and caring feedback, combined with self‑growth ownership. What you’ll build • Next‑Gen Healthcare Framework: 4 countries (and more to come), multiple products, but one system. Build the contract & service stack that will power Alan’s growth for the next 10 years., • AI‑powered Acquisition Engine: Autonomised sales teams using AI to customise coverage, compute pricing, and generate contracts in real time., • Automated Renewal System: Automatically reviews and adjusts coverage for our portfolio annually, accounting for legal changes, consumption trends, and economic shifts. Why this role is special • Direct impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide easy access to healthcare to more people., • Complex problems: Modelling a complex world in a simple stack, real‑time pricing, scale challenges., • Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. Stack Python/Flask, React, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership – you build it, you own it. Technical Requirements • 3+ years building scalable backend systems., • Experience with high‑traffic applications that real users depend on. Desired Qualities • You love turning complex problems into elegant solutions., • You care about the "why" behind what you build, not just the "how"., • Clear progression in your career – increasing responsibility, scope, and impact over time. Mission Alignment • Healthcare technology excites you., • You understand that insurance isn’t just about money – it’s about access to care. Location & Remote You must be legally eligible to work in France, Belgium, or Spain. Remote work flexibility is offered, but in‑person collaboration is valued. EEO Statement Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. Benefits & Culture • Stimulant environment and perks ensuring team members are happy, efficient, and enjoy high‑quality time with co‑workers., • A strong culture guided by a set of values that shape our approach to work. xcskxlj Additional Information Engage with our About Alan, Career pages, Medium posts, and Glassdoor reviews for more details. #J-18808-Ljbffr

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.We are seeking a skilled Python full stack engineer to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable applications across the front and backend in a DevOps environment. You’ll contribute throughout the entire development lifecycle—from concept to deployment—and collaborate closely with cross-functional teams to deliver high-quality, modern digital solutions powered by React and Python.YOUR CHALLENGEDesign, develop, and deliver AI based full stack applications that address complex business needsBuild dynamic and responsive frontends using React, ensuring excellent user experience and performanceDevelop robust and scalable backend services with Python (e.G., FastAPI, Flask, or Django) to handle application logic and data workflowsIntegrate frontend, backend, and database layers seamlessly to ensure smooth data flow and maintainable architectureImplement and optimize API endpoints and data pipelines to support business processes and analytics needsTest, debug, and optimize components across the stack to ensure code quality, security, and performanceCollaborate with UX designers, product managers, and other developers to deliver reliable and maintainable solutionsParticipate in code reviews, continuous integration, and deployment processes to ensure high-quality delivery standardsContinuously explore and adopt modern frameworks, tools, and best practices to enhance development efficiency and maintainabilityYOUR PROFILEStrong problem-solving and analytical skills, with the ability to think critically and creatively about complex challengesExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organizationAbility to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on scheduleContinuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligenceAttention to detail and commitment to producing high-quality, reliable, and maintainable codeBachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related fieldStrong programming skills in Python, with experience developing and maintaining backend services (e.G., FastAPI, Flask, or Django)Proven experience building modern web frontends using React, including component-based architecture, state management, and responsive designSolid understanding of relational databasesGood grasp of API design principles (RESTful or GraphQL), integration patterns, and data exchange between frontend, backend, and database layersFamiliarity with CI/CD pipelines, version control (Git), automated testing, and code review practicesKnowledge of software design principles, including modularity, scalability, maintainability, and security best practicesExcellent problem-solving and debugging skills, with the ability to quickly identify and resolve issues across the stackRelevant work experience in fullstack development or related software engineering roles in AI contextWe are looking forward to receiving your full job application through our online application tool.#J-18808-Ljbffr

Overview SD Worx is a leading European provider of Payroll & HR services with global reach. We have offices across Europe and in Mauritius. Our purpose is to bring people solutions to life, enabling organisations of all sizes to turn Human Resources into a source of value for both the business and its people. Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación. Our people solutions cover the entire employee journey – from getting people paid to attracting, rewarding and developing talent. Responsibilities • Deploy, and maintain AI-related applications on Azure Kubernetes Service, • Build and manage CI/CD pipelines using Azure DevOps, • Containerize applications and manage deployments using Kubernetes manifests, Helm charts, or similar tooling, • Configure secure application access to secrets and certificates using Azure Key Vault, • Integrate applications with Azure data services such as Cosmos DB and Azure Database for PostgreSQL, • Support Python-based backend services, APIs, and AI application components, • Implement deployment strategies such as rolling updates, blue-green deployments, or canary releases, • Monitor application deployments, troubleshoot runtime issues, and improve deployment reliability, • Collaborate with AI engineers, DevOps engineers, platform teams, and product teams, • Ensure applications follow cloud security, scalability, and reliability best practices, • Maintain documentation for deployment processes, infrastructure, and operational runbooksQualifications, • Degree in IT/IT related fields or equal by experience., • 3-5 years of experience in the field., • Excellent analytical, communication and problem-solving skills., • Experience in working in Agile squads. Working in international environment is considered as a plus.Must-Have, • Docker, • Python, • Terraform, • GitNice-to-Have, • Managed Identity, • FastAPI or Flask, • MLflow or model-serving frameworks, • API management, • DevSecOps practicesBenefits, • Comprehensive training and development programs., • Private medical insurance 100% covered by SD Worx, • 18 hours for personal matters, • Reduced summer hours: 36 hours per week for 4 weeks (dates to be chosen in July or August), • Cobee flexible retribution options: meals, transportation, etc., • Laptop and equipment provided, • Workation: possibility to work from abroad (where SD Worx has legal entity, up to 4 weeks per year), • Learning opportunities: language courses (as per availability), individual training bonus, an individual development plan, and professional training, • Career growth: opportunities to deepen expertise or expand knowledge across areas within SD Worx From many places, we work as one, moving from better to best together. SD Worx embraces diversity in the workplace. Diversity brings inspiration and innovation to our company. We particularly welcome applications from qualified talent, regardless of origin, nationality, gender, skin color, ethnic and social background, religion, age, disability, sexual orientation, or stage of life. Salary range information will be shared with candidates during the initial interaction with the Talent Acquisition team, either by phone or email. xcskxlj All hiring decisions are made based on skills, experience and role‑related qualifications. #J-18808-Ljbffr

Busca desarrollador Python Senior para diseñar arquitecturas escalables, definir estándares de desarrollo y desarrollar API REST con Django, Flask o FastAPI.

Una empresa de tecnología está buscando un Desarrollador Fullstack para unirse a su equipo en Madrid. Este rol requiere experiencia en desarrollo de frontend con Java, Python y React, así como en backend utilizando Flask. Se ofrece un entorno de trabajo flexible junto con oportunidades de formación continua y beneficios sociales. La empresa ha sido reconocida como Top Employer por su compromiso con el talento y la diversidad.br#J-18808-Ljbffr

Software Architect - TA (Tools and Automation) Si cree que es el candidato ideal para la siguiente oportunidad, envíe su solicitud después de leer la descripción completa. Job Description Inside of TADYs Co C (Aircraft Systems Centre of Competence), Highly Integrated Systems (HIS) is a newly created organization (Domain) with specific responsibilities in Multisystem Architectures, Airborne Computing Platforms, IMA and Modular Integration, HW/SW Certification and Infrastructure and Digitalization, acting as Multisystem and IMA Design Office and providing transversal support and services to the whole Systems Co C. This organization has been created to evolve and prepare the Co Cs organization to the new challenges and paradigms in the Systems design, to attend current and future customer needs and to foster reuse, common strategies alignment, economy of scale, multisystem architectures and digitalization. The aim is to deliver cross-functional strategies, artefacts and support for the design, development and certification of Air Power systems by centralizing competencies, expertise and activities to act as Multisystem Design Office. Tasks and Responsibilities Design, implement, and maintain a robust Python-based automation framework used across multiple programs and environments. This includes defining architecture patterns, reusable components, libraries, and ensuring consistency, scalability, and maintainability across all automation projects. Lead the full development lifecycle of automation solutions – from requirements gathering and design to implementation, testing, deployment, and release to the end customer. Define and enforce software design principles, coding standards, and architectural patterns (e.G., modular, hexagonal, and event-driven architectures). Develop high‑quality, production‑grade code primarily in Python, complemented by strong Shell scripting (Bash/Power Shell) skills for system‑level automation. Design and maintain Docker‑based build environments and pipelines. Integrate automations into Jenkins CI/CD workflows, ensuring reliable build, test, and deployment processes. Promote automated testing practices, including unit, integration, and regression testing. Implement continuous integration strategies to ensure code quality and early detection of issues. Work closely with internal customers and other Dev Ops teams to translate operational needs into software solutions. Ensure that all developed tools and automations are properly documented – including architectural decisions, API contracts, and deployment procedures – maintaining traceability and compliance with engineering standards. Evaluate and integrate new technologies and methodologies to enhance the automation ecosystem. Required Skills Degree in Software Engineering, Computer Science, or similar, with relevant experience in software architecture and Dev Ops environments. 3+ years of experience in software development and architecture, ideally in automation or tooling domains. Advanced level of Python programming, including design patterns, object-oriented programming, and modular architectures. Strong experience with Shell scripting (Bash or Power Shell) for automation and integration tasks. Proficiency with Docker and containerized development environments. Experience designing and maintaining CI/CD pipelines (preferably Jenkins). Solid understanding of software architecture patterns, API design, and versioning strategies. Strong focus on code quality, testing, and maintainability. Excellent communication and stakeholder management skills, with a customer-oriented mindset. Ability to work autonomously while aligning with team objectives and long‑term vision. English at negotiation level – German and/or French is a plus. Additional Valuable Skills Experience in microservices architecture and event‑driven systems. Knowledge of infrastructure automation tools (e.G., Ansible, Terraform) or orchestration platforms (e.G., Kubernetes). Familiarity with Fast API, Flask, or similar Python backend frameworks. Experience with Git‑based workflows, code review processes, and semantic versioning. Knowledge of API integration (e.G., REST APIs, SOAP APIs, RPC, etc.). Experience with logging, monitoring, and telemetry tools for automation health tracking. Exposure to domain‑driven design (DDD) and hexagonal architecture principles. Strong analytical and problem‑solving mindset, focused on delivering durable, scalable solutions. Benefits Vacation days and additional days‑off along the year (+35 days off in total). Attractive salary and compensation package. Hybrid model of working when possible, promoting the work‑life balance. Collective transport service in some sites. Benefits such as health insurance, employee stock options, retirement plan… On‑site facilities (among others): free canteen, kindergarten, medical office. Possibility to collaborate in different social and corporate social responsibility initiatives. Excellent upskilling opportunities and great development prospects in a multicultural environment. Special rates in products benefits. Software Architect - T&A (Tools and Automation), Madrid - Madrid, Spain #J-18808-Ljbffr

ppSi este tipo de proyectos despiertan tu curiosidad y encajan con lo que quieres construir a nivel profesional, ¡te animamos a conocernos! /p h3QUÉ ENCONTRARÁS EN ESTA EXPERIENCIA: /h3 pEn tu día a día trabajarás con datos, modelos y servicios backend que conectan inteligencia artificial con soluciones reales en producción. /p ul liDesarrollar bscripts en Python /b para análisis, transformación y modelado de datos, utilizando librerías como Scikit-Learn y pandas. Esto te permitirá intervenir directamente en el ciclo completo del dato: desde su preparación hasta la generación de modelos predictivos. /li liImplementar bservicios web con Flask /b, entendiendo cómo exponer modelos y procesos analíticos como APIs robustas y escalables listas para integrarse en entornos productivos. /li liAplicar bMachine Learning e Inteligencia Artificial /b con TensorFlow y Keras, participando en el entrenamiento, validación y optimización de modelos. Además, trabajarás con tecnologías basadas en LLMs (OpenAI, prompting avanzado, agentes, técnicas de In-Context Learning), integrando IA generativa en soluciones empresariales reales. /li liDesarrollar bservicios backend con Java y Spring (Spring Boot, JPA, Hibernate) /b, construyendo arquitecturas sólidas y mantenibles. Implementarás autenticación segura mediante JWT, asegurando que los sistemas cumplan estándares de seguridad y escalabilidad. /li /ul h3REQUISITOS PARA TRIUNFAR: /h3 h3Formación: /h3 ul liPreferentemente formación universitaria en Ingeniería Técnica en Informática, pero serán considerados también estudios técnicos vinculados con soluciones tecnológicas /li liSi no dispones de estudios técnicos, puedes aportar experiencia suficiente en las funciones descritas y el conocimiento de los lenguajes y tecnologías mencionadas /li /ul pbExperiencia: /b Al menos b2 años /bde experiencia en las tareas descritas. /p h3PENSANDO EN TI, TE OFRECEMOS: /h3 ul libProyectos de impacto: /bTrabajar en la ejecución de proyectos relevantes que combinan programación avanzada y tecnologías GIS. /li libDesarrollo profesional: /bOportunidad de desarrollo profesional y perfeccionar tus habilidades en un entorno de trabajo dinámico. /li libAmbiente de colaboración: /bFormar parte de un equipo que valora la innovación, el aprendizaje continuo y el trabajo en equipo. /li /ul h3¡Y Mucho Más! /h3 ul liTeletrabajo y flexibilidad horaria /li liJornada intensiva en verano /liliPlan de Formación /li liContrato indefinido /li /ul pEn nuestra estrategia de selección de talento, nos esforzamos por garantizar que cada persona trabajadora sea evaluada de manera justa y objetiva, basándonos únicamente en sus habilidades, experiencia y potencial para contribuir al éxito de la empresa. Rechazamos cualquier forma de discriminación y promovemos activamente la diversidad en nuestra apuesta por una plantilla en la que prime como pleno deber, garantizar la igualdad de trato y oportunidades entre las personas trabajadoras y la erradicación de toda discriminación dentro de los espacios de trabajo. /p /p #J-18808-Ljbffr

Applications must be submitted in English and received no later than 12 July 2026. La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación. WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. WHO YOU’LL WORK WITH You’ll join our Engineering Experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data‑driven strategies and innovative solutions. Together, we create human‑centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. WHAT YOU'LL DO As a Lead, Software Engineering, you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated software engineering solutions and infrastructure at a production scale suitable for the world’s largest companies. This is an individual contributor role, with some responsibility for mentoring junior team members. Key Responsibilities • Collaborate closely with and influence general consulting teams to identify software solutions to client business problems, prioritize, and execute them., • Serve as a technical lead in delivering end‑to‑end solutions for client cases (from solution architecture to hands‑on development work)., • Participate in the software development life cycle including designing distributed systems, reviewing documentation, and conducting code reviews., • Participate in expert client advisory services requiring expertise in software engineering with distributed systems, AI, and application architecture., • Collaborate on the development of reusable common frameworks, models, and components to efficiently address common software engineering challenges across various industries and business functions., • Champion best engineering practices and share learnings with team members in AIS about theoretical and technical developments in software engineering., • Lead industry‑leading innovations that translate into significant impact for our clients in case work., • Influence, educate, and directly support the software engineering capabilities of our clients., • Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the software platform., • Work at least three days per week in person, either at a client location or at your Bain home office., • Travel regionally as required, with frequency and destinations varying based on project needs. ABOUT YOU Education & Experience • Master’s degree in Computer Science, Engineering, or a related technical field, • 5 years minimum experience, • 3+ years at Senior or Staff level, or equivalent, • Fluency in English. Minimum business fluent Spanish for Iberia Technical Skills and Knowledge • Working knowledge (4+ years) of Python, • Experience with server‑side frameworks and technologies such as FastAPI, Node.js, Flask. xcskxlj, • Experience with Cloud platforms and services (AWS, Azure, GCP, etc.), • Experience with data architecture, database schema design, database scalability and SQL, • Experience with implementation of large‑scale structured or unstructured databases, orchestration and container technologies such as Docker, Kubernetes, Jenkins or Terraform, • Strong computer science fundamentals in data structures, algorithms, automated testing, object‑oriented programming, performance complexity, and implications of computer architecture on software performance., • Experience with data architecture, database schema design, database scalability and SQL, • Ideally, experience with client‑side technologies such as React, Angular, Vue.js, HTML and CSS, • Knowledge of agile development methodologies and principles Interpersonal Skills • Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines, • Curiosity, proactivity and critical thinking, • Ability to collaborate with people at all levels and with multi‑office/region teams Other Experience • Relevant professional hands‑on experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation #J-18808-Ljbffr

Si este tipo de proyectos despiertan tu curiosidad y encajan con lo que quieres construir a nivel profesional, ¡te animamos a conocernos! Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia. Qué Encontrarás En Esta Experiencia • Desarrollar scripts en Python para análisis, transformación y modelado de datos, utilizando librerías como Scikit-Learn y pandas. Esto te permitirá intervenir directamente en el ciclo completo del dato: desde su preparación hasta la generación de modelos predictivos., • Implementar servicios web con Flask, entendiendo cómo exponer modelos y procesos analíticos como APIs robustas y escalables listas para integrarse en entornos productivos., • Aplicar Machine Learning e Inteligencia Artificial con TensorFlow y Keras, participando en el entrenamiento, validación y optimización de modelos. Además, trabajarás con tecnologías basadas en LLMs (OpenAI, prompting avanzado, agentes, técnicas de In-Context Learning), integrando IA generativa en soluciones empresariales reales., • Desarrollar servicios backend con Java y Spring (Spring Boot, JPA, Hibernate), construyendo arquitecturas sólidas y mantenibles. Implementarás autenticación segura mediante JWT, asegurando que los sistemas cumplan estándares de seguridad y escalabilidad. Formación Preferentemente formación universitaria en Ingeniería Técnica en Informática, pero serán considerados también estudios técnicos vinculados con soluciones tecnológicas. Si no dispones de estudios técnicos, puedes aportar experiencia suficiente en las funciones descritas y el conocimiento de los lenguajes y tecnologías mencionadas. Requisitos para Triunfar • Preferentemente formación universitaria en Ingeniería Técnica en Informática, pero serán considerados también estudios técnicos vinculados con soluciones tecnológicas., • Si no dispones de estudios técnicos, puedes aportar experiencia suficiente en las funciones descritas y el conocimiento de los lenguajes y tecnologías mencionadas. Experiencia Al menos 2 años de experiencia en las tareas descritas. Pensando En Ti, Te Ofrecemos • Proyectos de impacto: Trabajar en la ejecución de proyectos relevantes que combinan programación avanzada y tecnologías GIS., • Desarrollo profesional: Oportunidad de desarrollo profesional y perfeccionar tus habilidades en un entorno de trabajo dinámico., • Ambiente de colaboración: Formar parte de un equipo que valora la innovación, el aprendizaje continuo y el trabajo en equipo. ¡Y Mucho Más! • Teletrabajo y flexibilidad horaria, • Jornada intensiva en verano, • Plan de Formación, • Contrato indefinido En nuestra estrategia de selección de talento, nos esforzamos por garantizar que cada persona trabajadora sea evaluada de manera justa y objetiva, basándonos únicamente en sus habilidades, experiencia y potencial para contribuir al éxito de la empresa. xcskxlj Rechazamos cualquier forma de discriminación y promovemos activamente la diversidad en nuestra apuesta por una plantilla en la que prime la igualdad de trato y oportunidades, y la erradicación de toda discriminación dentro de los espacios de trabajo. #J-18808-Ljbffr

REQUISITOS IMPRESCINDIBLES Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora. El cliente solicita presencialidad (2 días en semana) Experiencia profesional mínima de 7 años en proyectos de Tecnologías de la Información. Experiencia mínima de 5 años desempeñando funciones de consultoría tecnológica, análisis, diseño y desarrollo de soluciones basadas en Big Data, Ciencia de Datos o Inteligencia Artificial. Dominio de Python para desarrollo de soluciones de IA y Ciencia de Datos. • Pandas y/o NumPy, • Scikit-learn, • Matplotlib, Seaborn y Jupyter Notebooks Experiencia de al menos 5 años en: • Desarrollo de APIs REST con FastAPI o Flask., • Documentación de APIs mediante OpenAPI o Swagger., • Entornos de integración y despliegue continuo (CI/CD)., • Orquestación de pipelines con Apache Airflow, Kubeflow o Prefect., • Contenerización con Docker., • Despliegue sobre Kubernetes. Inteligencia Artificial Generativa Experiencia mínima de 3 años trabajando con soluciones de IA Generativa. Diseño e implementación de arquitecturas RAG (Retrieval-Augmented Generation). Experiencia con modelos GPT, LLaMA o Mistral. Uso de librerías Transformers. Experiencia en: • Fine-tuning de modelos., • Embeddings., • Evaluación de LLMs. REQUISITOS VALORABLES • Experiencia en proyectos de Administración Pública., • Experiencia con servicios de IA en entornos cloud (Azure AI, Azure OpenAI, AWS Bedrock, Amazon SageMaker, Google Vertex AI)., • Conocimientos de bases de datos vectoriales (Pinecone, Milvus, Weaviate, ChromaDB, Azure AI Search)., • Experiencia en frameworks para desarrollo de aplicaciones LLM como LangChain, LlamaIndex o similares., • Conocimientos de MLOps y ciclo de vida de modelos de IA., • Experiencia en Git, GitHub/GitLab y metodologías ágiles (Scrum/Kanban)., • Conocimientos de ingeniería de prompts (Prompt Engineering) y técnicas de optimización de respuestas de modelos generativos., • Certificaciones relacionadas con IA, Machine Learning o plataformas cloud (Microsoft Azure, AWS o Google Cloud)., • Buen nivel de inglés técnico. xcskxlj TITULACIÓN REQUERIDA Titulación universitaria en Informática, Telecomunicaciones, Matemáticas, Física, Estadística o disciplinas afines. AÑOS DE EXPERIENCIA EN PERFIL SOLICITADO 7 años de experiencia en proyectos de IT #J-18808-Ljbffr

ph3Job Overview /h3 pInside of TADY’s CoC (Aircraft Systems Centre of Competence), Highly Integrated Systems (HIS) is a newly created organization with specific responsibilities in Multisystem Architectures, Airborne Computing Platforms, IMA and Modular Integration, HW/SW Certification and Infrastructure and Digitalization. It acts as the Multisystem Design Office and provides transversal support and services to the whole Systems CoC, delivering cross‑functional strategies, artefacts, and support for the design, development and certification of air power systems. /p h3Tasks and Responsibilities /h3 ul liDesign, implement, and maintain a robust Python‑based automation framework used across multiple programs and environments, defining architecture patterns, reusable components, libraries, and ensuring consistency, scalability, and maintainability. /li liLead the full development lifecycle of automation solutions – from requirements gathering and design to implementation, testing, deployment, and release to the end customer. /li liDefine and enforce software design principles, coding standards, and architectural patterns such as modular, hexagonal, and event‑driven architectures. /li liDevelop high‑quality production‑grade code primarily in Python, complemented by strong Shell scripting (Bash/PowerShell) skills for system‑level automation. /li liDesign and maintain Docker‑based build environments and pipelines, integrating automations into Jenkins CI/CD workflows to ensure reliable build, test, and deployment processes. /li liPromote automated testing practices, including unit, integration, and regression testing, and implement continuous integration strategies to maintain code quality. /li liWork closely with internal customers and other DevOps teams to translate operational needs into software solutions. /li liDocument all developed tools and automations – architectural decisions, API contracts, and deployment procedures – maintaining traceability and compliance with engineering standards. /li liEvaluate and integrate new technologies and methodologies to enhance the automation ecosystem. /li /ul h3Required Skills /h3 ul liDegree in Software Engineering, Computer Science, or a related field with relevant experience in software architecture and DevOps environments. /li li3+ years of experience in software development and architecture, preferably in automation or tooling domains. /li liAdvanced level of Python programming, including design patterns, object‑oriented programming, and modular architectures. /li liStrong experience with Shell scripting (Bash or PowerShell) for automation and integration tasks. /li liProficiency with Docker and containerised development environments. /li liExperience designing and maintaining CI/CD pipelines, preferably with Jenkins. /li liSolid understanding of software architecture patterns, API design, and versioning strategies. /li liStrong focus on code quality, testing, and maintainability. /li liExcellent communication and stakeholder management skills, with a customer‑oriented mindset. /li liAbility to work autonomously while aligning with team objectives and long‑term vision. /li liEnglish at negotiation level; German and/or French is a plus. /li /ul h3Additional Valuable Skills /h3 ul liExperience in microservices architecture and event‑driven systems. /li liKnowledge of infrastructure automation tools such as Ansible or Terraform, or orchestration platforms such as Kubernetes. /li liFamiliarity with Python backend frameworks like FastAPI or Flask. /li liExperience with Git‑based workflows, code review processes, and semantic versioning. /li liKnowledge of API integration (REST, SOAP, RPC). /li liExperience with logging, monitoring, and telemetry tools for automation health tracking. /li liExposure to domain‑driven design (DDD) and hexagonal architecture principles. /li liStrong analytical and problem‑solving mindset, focused on delivering durable, scalable solutions. /li /ul h3Benefits /h3 ul liVacation days and additional days‑off – more than 35 days off in total. /li liAttractive salary and compensation package. /li liHybrid working model when possible, promoting work‑life balance. /li liCollective transport service in some sites. /li liHealth insurance, employee stock options, retirement plan, and other benefits. /li liOn‑site facilities such as free canteen, kindergarten, and medical office. /li liOpportunity to collaborate in social and corporate social responsibility initiatives. /li liExcellent upskilling opportunities and great development prospects in a multicultural environment. /li liSpecial rates in products and benefits. /li /ul h3Equal Opportunity Statement /h3 pAirbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. No monetary exchange will be requested during the recruitment process, and any impersonation of Airbus should be reported to /p /p #J-18808-Ljbffr