Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)
3 days ago
Madrid
ph3Key Responsibilities /h3 pAs a Platform Engineer within Advanced Analytics (DA3) in the Chief Data AI Office area at Allianz Partners, you will join our central AI team to build and operate the cloud infrastructure that powers AI-enabled solutions at global scale. /p pWe are looking for an engineer with deep Kubernetes and cloud expertise to implement, automate, and maintain the platform foundations that enable teams to deploy and operate AI services reliably. /p pYou will work in a cross-functional environment with Backend Engineers, ML Engineers, AI Architects, and Platform Architects, taking hands‑on ownership of the infrastructure layer, from Kubernetes clusters and CI/CD pipelines to observability systems and security controls. /p pIn this role, you will translate platform architecture into working infrastructure, reduce operational toil through automation, and ensure production systems meet reliability and security standards. /p pThrough this role, you will have the main following responsibilities: /p ul liImplement and operate Kubernetes infrastructure (AKS): cluster lifecycle, networking, resource management, auto‑scaling, and multi‑tenancy patterns. /li liBuild and maintain CI/CD pipelines using GitHub Actions and ArgoCD for automated testing, container builds, and GitOps deployments. /li liDevelop Infrastructure as Code (Terraform, Bicep) to provision and manage Azure resources with consistency and auditability. /li liOperate container registries (ACR), artifact management, and image security scanning workflows. /li liImplement and maintain observability infrastructure: Azure Monitor, Application Insights, Prometheus, Grafana—including dashboards, alerting, and distributed tracing. /li liManage async processing infrastructure: Celery workers, Redis queues, and workflow orchestration patterns supporting AI agent execution. /li liImplement platform security controls: network policies, pod security standards, Key Vault integration, RBAC, and private endpoint configurations. /li liSupport database infrastructure: PostgreSQL management, backup/recovery, connection pooling, and performance tuning. /li liCreate self‑service tooling and templates that enable development teams to deploy and operate services with minimal friction. /li liDiagnose and resolve infrastructure issues across clusters, pipelines, and cloud services; perform root‑cause analysis and implement preventative improvements. /li liCollaborate with Platform Architects, Backend Engineers, and ML Engineers to translate architecture designs into reliable infrastructure. /li /ul h3What You Bring /h3 ul li5+ years professional experience in platform engineering, SRE, or DevOps roles; experience supporting AI/ML workloads is a strong plus. /li liStrong Kubernetes experience: cluster operations, networking (Ingress, network policies), storage, autoscaling, and troubleshooting. /li liSolid Infrastructure as Code experience with Terraform, Bicep, or equivalent tools. /li liProduction experience with Azure cloud services: AKS, ACR, Key Vault, Azure Monitor, Virtual Networks, Private Endpoints, and Azure Policy. /li liStrong CI/CD experience: GitHub Actions (self‑hosted runners, reusable workflows), ArgoCD, or similar GitOps tooling. /li liProficiency in Python for automation, scripting, and tooling. /li liExperience with container security: image scanning, runtime security, network policies, and least‑privilege patterns. /li liExperience with observability stack: Prometheus, Grafana, centralized logging, and alerting configuration. /li liFamiliarity with async task processing: Celery, Redis, or equivalent message queue patterns. /li liStrong Linux systems administration and networking fundamentals. /li liOperational mindset with strong troubleshooting skills across infrastructure layers. /li /ul h3Ways of Working /h3 ul liComfortable in agile, iterative delivery environments with ownership and accountability. /li liClear communicator and collaborator across global, cross‑functional stakeholders. /li liStrong focus on reliability and automation: you measure success by system uptime and reduced manual toil. /li liProactive learner with pragmatic adoption of AI‑assisted developer tools (GitHub Copilot, Claude Code) to improve automation and delivery. /li /ul h3Nice to Have /h3 ul liExperience supporting AI/ML infrastructure: GPU scheduling, model serving platforms, or ML pipeline orchestration. /li liService mesh experience (Istio, Linkerd) for traffic management and security. /li liExperience with Databricks or similar data platform infrastructure. /li liFamiliarity with workflow orchestration (Temporal, Airflow) for complex AI pipelines. /li liExperience with cost optimization: FinOps practices, resource right‑sizing, and reserved capacity planning. /li liExperience in regulated environments where auditability and secure‑by‑default infrastructure are essential. /li liCertifications: CKA/CKAD, Azure Administrator, or Terraform Associate. /li /ul h3What We Offer /h3 pOur employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. /p pAll that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is a key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work‑life balance. /p p90206 | Data AI | Professional | Allianz Partners | Full‑Time | Permanent /p pAllianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. /p pWe at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board. Let's care for tomorrow. /p pNote: Diversity of minds is an integral part of Allianz’ company culture. One means to achieve diverse teams is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company encourages its employees to have motivation in gaining varied skills from different positions and to collect experiences from across Allianz Group. /p /p #J-18808-Ljbffr