About the Job

As a Cloud & AI Infrastructure-Engineer, you will design and operate secure, automated, and scalable cloud-native solutions on AWS while embedding SecDevOps best practices across the delivery lifecycle. You will own and evolve the applications’ CI/CD pipelines and the Jenkins-based test execution engine, driving high release quality with biweekly build and release cycles. Your work spans containerized workloads (including multi-container task patterns and internal TLS termination), Infrastructure as Code with Terraform, and blue-green deployment strategies via ALB target groups. You will also help enable AI use cases, including MCP (Model Context Protocol) agent/server setups and Amazon Bedrock–based LLM inference (e.g., Claude Sonnet/Haiku/Opus, prompt caching, model tiering), to deliver secure and efficient platform capabilities for our product teams.

What you do

Design, implement, and harden AWS architectures (ECS Fargate with auto/step/scheduled scaling and blue‑green via ALB target groups, EC2, VPC, S3, ECR, ALB).
Build cloud-native services with Infrastructure as Code (Terraform); standardize environments and enforce guardrails.
Own CI/CD: operate Jenkins (Groovy shared libraries) and integrate GitHub Actions (OIDC-based AWS authentication) to automate build, test, security, and delivery workflows.
Containerize and orchestrate services with Docker and Kubernetes; implement multi-container/task patterns (e.g., nginx sidecar for internal TLS termination).
Embed SecDevOps practices (vulnerability scanning, security testing, secrets/IAM controls) and ensure compliance-by-design.
Manage biweekly product builds and releases; lead deployments, performance analysis, and optimization; provide environment management and operational support.
Evolve the automated test management and execution engine on Jenkins and integrate with test frameworks.
Implement robust observability (Grafana, Dynatrace), logging, and availability SLOs.
Partner with application teams in an Agile/Scrum setup; document in Confluence and track work in Jira.

What you bring

3–5 years of hands-on DevOps/SecDevOps experience owning CI/CD (Jenkins with Groovy/shared libraries) and GitHub Actions with OIDC to AWS.
Deep AWS expertise: ECS Fargate, EC2, S3, VPC, ALB, ECR; experience with Aurora Serverless v2 (PostgreSQL-compatible) and ElastiCache (Valkey/Redis).
Strong IaC with Terraform; containerization/orchestration with Docker and Kubernetes; artifact management with JFrog.
Proven experience building and operating automated test execution engines and release pipelines; solid environment management.
Security-first mindset: vulnerability scanning, security testing, and cloud security controls; solid IAM and secrets management practices.
Solid programming/scripting and tooling: Git/GitHub, Maven/NPM; monitoring and observability (Grafana, Dynatrace); Agile ways of working; English B2.
Basic knowledge of AI technologies, principles, and their practical use**.**
Basic knowledge of AI technologies, principles, and their practical use.

What we offer

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

Cloud & AI Infrastructure-Engineer_2644

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