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Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and _ rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges. What you’ll be doing: Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production-ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability. What you’ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role As a Software Engineer on the Olo Network team, you will play a key role in designing and building the user-facing products and services that connect leading restaurant brands with their customers. Your work will centre on developing robust APIs powering a new mobile application, offering an exciting blend of greenfield engineering opportunities alongside the continued evolution of an established platform. You will join a collaborative, experienced engineering team distributed across Northern Ireland and the United States, bringing your skills to a group that values craftsmanship, innovation, and meaningful impact at scale. • Design and implement scalable, high-quality components and services that align with team and company goals., • Contribute to technical decision-making, including solution design and architecture, with a focus on addressing technical debt, reliability, and system performance., • Collaborate closely with product managers, designers, and stakeholders to translate customer needs into technical solutions., • Proactively monitor and improve system performance, identifying and resolving issues swiftly and effectively, while communicating clearly and effectively with stakeholders during incidents to ensure alignment and prompt resolution., • Take a proactive approach to support, digging into issues to identify root causes and developing long-term, proactive solutions to prevent recurrence., • Document and share knowledge effectively to elevate the team’s technical expertise., • Champion best practices in software development, agile methodologies, and continuous improvement., • Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience., • 4+ years of experience in software engineering, with excellent knowledge of C#, .NET, plus experience on the Front-End with Typescript/React., • Experience with cloud services like AWS and familiarity of containerisation with Docker and EKS., • Experience with Elasticsearch/OpenSearch or similar search solutions will be advantageous., • Experience writing unit tests and testable code., • Demonstrate strong problem-solving skills and the ability to navigate deep technical challenges., • Exhibit excellent judgment, seeking diverse perspectives and challenging assumptions to improve outcomes., • Deliver constructive feedback that empowers individuals and strengthens the team., • Communicate technical concepts clearly, adapting to both technical and non-technical audiences., • Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _ _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.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role As a Fullstack Software Engineer on the Catering team at Olo, you will design, build, and monitor solutions that facilitate the online ordering, management, and effortless transmission of high-value Catering orders to our customers. Our team's mission is to create tools and features that support restaurant operations for the accurate production of catering orders and ensure our guests are served on time and without interruption. We aim to collaborate well. We encourage new ideas and experimentation. No part of the codebase is off-limits. You'll work with a passionate team dedicated to delivering amazing products using modern technologies. • Design and implement scalable, high-quality components and services that align with team and company goals., • Contribute to technical decision-making, including solution design and architecture, with a focus on addressing technical debt, reliability, and system performance., • Collaborate closely with product managers, designers, and stakeholders to translate customer needs into technical solutions., • Proactively monitor and improve system performance, identifying and resolving issues swiftly and effectively, while communicating clearly and effectively with stakeholders during incidents to ensure alignment and prompt resolution., • Take a proactive approach to support, digging into issues to identify root causes and developing long-term, proactive solutions to prevent recurrence., • Document and share knowledge effectively to elevate the team’s technical expertise., • Champion best practices in software development, agile methodologies, and continuous improvement., • 3+ years of experience in software engineering, including excellent knowledge of C#, .NET and commercial experience with Typescript and a Front-end framework (React or similar)., • Experience with cloud services like AWS and familiarity of containerization with Docker and EKS., • Experience writing unit tests and testable code., • Demonstrate strong problem-solving skills and the ability to navigate complex technical challenges., • Exhibit excellent judgment, seeking diverse perspectives and challenging assumptions to improve outcomes., • Deliver constructive feedback that empowers individuals and strengthens the team., • Communicate technical concepts clearly, adapting to both technical and non-technical audiences., • Consistently meets sprint and quarterly commitments while maintaining high standards of quality and efficiency.About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _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.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! The Senior Manager, Engineering, Docker Agents leads the team responsible for building Docker’s next-generation AI agent capabilities. This team designs and delivers intelligent, containerized agents that enable automation, adaptive workflows, and real-world AI usage for developers. This role combines people leadership, technical strategy, and cross-functional collaboration. The manager ensures the team delivers reliable, high-impact systems while maintaining a strong engineering culture grounded in trust, learning, and execution. Team Leadership & Development Lead, mentor, and grow a team of engineers working on Docker Agents. Define hiring plans, onboarding, career paths, and performance expectations. Foster a culture of psychological safety, accountability, and continuous improvement. Technical Strategy & Delivery Partner with Product and Engineering leadership to define the vision, roadmap, and technical direction for agent systems. Guide architectural decisions for scalable, secure, and maintainable agent platforms. Balance long-term strategy with short-term execution to ensure consistent delivery. Cross-Functional Collaboration Work closely with Product Management, Platform, DevOps, and QA teams to align priorities. Advocate for agent capabilities across the Docker ecosystem. Ensure smooth integration between agent systems and other Docker products. Establish and track engineering metrics related to quality, velocity, and reliability. Remove blockers and improve developer productivity through better tooling and processes. Drive improvements in CI/CD, testing, observability, and system resilience. Model strong leadership behaviors rooted in empathy, clarity, and ownership. Promote inclusion, diversity, and fairness in hiring and team development. Handle feedback, performance discussions, and prioritization decisions with transparency and respect. 7+ years of professional software engineering experience. 3+ years of experience managing engineering teams. Proven ability to lead remote, distributed teams. Strong experience with distributed systems, APIs, or platform engineering. Demonstrated ability to navigate ambiguity and guide teams through evolving requirements. Excellent written and verbal communication skills. Experience working with AI systems, LLMs, or agent-based architectures. Background in developer tools, platforms, or infrastructure products. Product-oriented mindset with exposure to user-facing engineering decisions. Integrate into Docker’s AI & Agents Engineering organization and establish relationships with key stakeholders across Product, Platform, Engineering leadership, and sister AI teams (Ask Gordon, broader AI platform) Deep dive into the Docker Agents ecosystem including cagent project architecture, current roadmap, open-source community engagement, and technical debt assessment Conduct comprehensive 1:1s with each team member to understand their technical backgrounds, career aspirations, current project ownership, and individual growth opportunities Assess team dynamics, delivery processes, engineering practices, and identify immediate opportunities to remove blockers, improve productivity, and enhance code quality Hire and onboard critical team members with expertise in containerized systems, AI/LLM integration, distributed systems, and open-source community management Establish clear team operating principles including engineering standards for agent development, code review processes, testing frameworks, and production deployment practices Drive alignment on technical vision and roadmap for Docker’s containerized agent platform in partnership with Product Management, ensuring clear prioritization of cagent evolution, enterprise features, and developer experience improvements Ship significant improvements to cagent or containerized agent platform capabilities with measurable impact on developer productivity or agent deployment reliability Build and lead a high-performing engineering team of 8-12 engineers that consistently delivers reliable, scalable containerized agent infrastructure impacting millions of Docker users worldwide Establish the Docker Agents team as a center of excellence for containerized AI systems, influencing architecture decisions across Docker’s AI initiatives and the broader container ecosystem Develop team members into technical leaders through mentorship, conference speaking opportunities, open-source contributions, and clear career advancement paths within Docker’s engineering organization Establish repeatable processes for rapid prototyping, evaluation, and productization of new agent capabilities that maintain Docker’s reputation for reliability and developer experience excellence Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents - providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems. Please note: this role is only available to candidates currently located in London (or reasonable commuting distance to London). We are unable to make exceptions to this location requirement. As a Staff Engineer, you will partner with the engineering leadership to help set technical direction and serve as a guide and mentor as the team grows and matures Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestration Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers RAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus) Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectiveness Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experience On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability Go Expertise: Strong, demonstrated, professional proficiency in Go (this is absolutely required) - Docker's primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development System Architecture: Proven ability to design scalable, distributed systems Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration RAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred) Python Proficiency: Experience with Python for AI prototyping and tooling (prefered) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) 8+ years of directly applicable experience Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Integrate into our dynamic AI engineering team building containerized agent infrastructure Deep dive into cagent's architecture and our containerized agent deployment roadmap Contribute your first enhancements to cagent with the help of your team Understand our technical stack and begin collaborating with sister AI teams Lead significant features or improvements to cagent and our containerized agent platform Enhance agent deployment capabilities and container-based orchestration patterns Collaborate with the open-source community on cagent development Help other new team members onboard Regularly interact with internal stakeholders and analyze user feedback Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Continue to help grow the team and develop efficient agent development processes Contribute to evaluation frameworks and performance optimization across our agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases Grow your skills in enterprise-grade containerized AI system architecture and deployment Shape the future direction of cagent and Docker's agent ecosystem Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! French fluency is required We are seeking a highly consultative, commercially minded Senior Solutions Engineer to support our most strategic accounts. This role is a critical technical seller position, owning pre-sales technical strategy, shaping customer requirements early, and influencing outcomes in complex, competitive sales cycles. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through Technical Selling & Deal Shaping, Technical Champion Ownership & Thought Leadership, Customer & Internal Advocacy and Competitive & Strategic Selling This role reports to the Director of Solutions Engineering and operates at the intersection of technical depth, business acumen, and competitive selling discipline. Technical Selling & Deal Shaping: Lead technical discovery to deeply understand customer business objectives, constraints, success criteria, and buying drivers. Shape technical requirements early in the sales cycle to align customer outcomes with Docker’s differentiated value. Design, position, and execute structured PoCs and PoVs, including defining success criteria, evaluation plans, and exit strategies. Influence customer decision-making through workshops, whiteboarding sessions, and technical executive briefings. Translate complex technical capabilities into clear business value narratives. Technical Champion Ownership & Thought Leadership: Build, own, and expand relationships with customer technical champions and influencers. Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. Maintain engagement beyond initial sale ensuring outcomes are realized and leveraging insights to support future sales motions. Customer & Internal Advocacy: Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive & Strategic Selling: Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the cycle. Partner with Sales to develop technical win strategies for strategic and competitive accounts. Proven experience as a Solutions Engineer, Sales Engineer, or Solution Architect in complex enterprise sales. Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. Ability to engage credibly with senior technical and business stakeholders. Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. Development, Agentic AI dev, Software Development Lifecycle and/or Software Supply Chain Experience experience strongly preferred. Excellent communication, influence, and stakeholder management skills. Willingness to travel to customer sites as required. Fluency in French and English You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program You will learn how to navigate through award-winning sales tools such as; Salesforce, Outreach, SalesForce, Looker, and Docker. Actively engage with senior stakeholders, and manage relationships with clients You will work closely with your peers and partner with CSMs to develop strategies to advocate for our customers. At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. You will be laser-focused on supporting the CS Team during your second month. You will have connected with all of your Team members. You will gain in-depth knowledge of Docker’s products and how they impact our customers. You will have an advanced understanding of tools, activities, and best practices to be successful in your role. In month three, you will be confident in your craft and ready to immerse yourself in our customer’s business needs fully. You will continue efforts to improve messaging, processes, and activities. Educate our clients about our product roadmap and undertake product training for users You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote; based in UK or EU About the role We’re looking for an Integration Engineer to lead client onboarding for Sardine’s fraud and compliance products. You’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during their onboarding process, setting our clients up for success Own public-facing SDKs, APIs, integration guides, and support documents Analyze clients' requirements from the technical and functional perspectives and design solutions by having a deep understanding of our system and products' capabilities Manage implementation projects, including monitoring project quality, managing timelines, mitigating risk, and driving deliverables Build a deep understanding of customers' business problems, technical requirements, and success criteria so that you can provide solutions utilizing Sardine's technology Provide product feedback to internal stakeholders as the eyes and ears on the ground What you’ll need 3+ years of hands-on experience as an implementation manager, integrations engineer, technical account manager, solution architect, and systems analyst, working with multiple technical teams, both internal and external 1+ years of B2B SaaS experience, preferably working in the relevant domain (payment, fraud, risk, or compliance) Excellent written and verbal communication skills, including the ability to communicate complex technical and business concepts to technical and non-technical personas Excellent organizational skills and the ability to manage multiple projects simultaneously and drive deliverables to completion Experience with basic SQL querying and JSON payload analysis Experience with APIs specs like OpenAPI, web development, and writing scripts to build internal tools (e.g., bash scripting, Python, SQL, Ruby, Golang, Postman) Compensation: Base pay range of 35,000 - 45,000 GBP in UK; 40,000 - 50,000 Euro in EU + Series C equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Senior Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Senior Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. Exhibit mastery of the ‘Core’ team’s domain, taking a leading role in the design and architecture of complex systems and influencing technical direction and strategy. Own the delivery of large-scale features and projects, coordinating efforts across multiple teams and ensuring alignment with overall business objectives. Provide mentorship and technical leadership to both junior and senior engineers, helping to grow the technical expertise within the team and fostering a culture of continuous improvement. Collaborate closely with Product, Design, and other stakeholders to shape requirements, making architectural and technical decisions that balance quality, performance, and delivery timelines. Ensure the implementation of high-quality, resilient, and scalable distributed systems, incorporating resilience mechanisms and best practices. Lead troubleshooting and incident management efforts, taking a proactive role in resolving critical production issues and improving system reliability. Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage. Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various services and platforms. Stay ahead of emerging technologies and trends, assessing new tools and techniques to enhance the team's capabilities. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience. 8+ years of experience in software engineering. Expert Programming Skills: Advanced proficiency in C#/.Net, with experience in designing and implementing large-scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Leadership & Cross-Team Collaboration: Demonstrate strong leadership and collaboration skills, with the ability to influence and guide technical efforts across multiple teams and ensure alignment with business objectives. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Senior Software Engineer on the ‘In-Store’ team, which is part of the wider ‘Order’ engineering group. The ‘In-Store’ squad is focused on building and improving the integrations with new and existing POS (Point of Sale) partners and systems. They ensure that customers orders successfully flow through the Olo ecosystem with a spotlight on revenue by driving critical SLA’s, uptime and overall performance when it comes to integrations with external partners. This position is perfect for someone who has experience in the POS domain or who has been building systems that integrate with external partner platforms. You’ll have the support of a highly experienced engineering team consisting of 8 engineers in one squad. On a management level, the team is led by a dedicated Engineering Manager. • Exhibit mastery of the ‘In-Store’ team’s domain, taking a leading role in the design and architecture of complex systems and influencing technical direction and strategy., • Own the delivery of large-scale features and projects, coordinating efforts across multiple teams and ensuring alignment with overall business objectives., • Provide mentorship and technical leadership to both junior and senior engineers, helping to grow the technical expertise within the team and fostering a culture of continuous improvement., • Collaborate closely with Product, Design, and other stakeholders to shape requirements, making architectural and technical decisions that balance quality, performance, and delivery timelines., • Ensure the implementation of high-quality, resilient, and scalable distributed systems, incorporating resilience mechanisms and best practices., • Lead troubleshooting and incident management efforts, taking a proactive role in resolving critical production issues and improving system reliability., • Advocate for and implements improvements in development practices, such as enhancing CI/CD processes, optimising infrastructure as code, and increasing test automation coverage., • Coordinate and lead cross-team technical initiatives, ensuring consistency and integration between various services and platforms., • Stay ahead of emerging technologies and trends, assessing new tools and techniques to enhance the team's capabilities., • Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised., • Bachelor’s Degree in Computer Science, Software Engineering or equivalent practical experience., • 5+ years of experience in software engineering., • Expert Programming Skills: Advanced proficiency in the .Net and C# ecosystem, with experience in designing and implementing large-scale, complex systems., • Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka)., • Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale., • Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform., • Leadership & Cross-Team Collaboration: Demonstrate strong leadership and collaboration skills, with the ability to influence and guide technical efforts across multiple teams and ensure alignment with business objectives.About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at _. _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.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu