Darum lohnt es sich
Responsibilities
• Build and maintain Docker multi-stage builds for Python agent workloads
• Manage packaging with uv and pyproject.toml along with lockfiles
• Design and operate GitHub Actions CI/CD pipelines covering test, build, ECR push and AgentCore Runtime deploy
• Configure AWS AgentCore CLI, agentcore.json and aws-targets.json deployment configs
• Oversee ECR image push, container security scanning and EKS / AgentCore Runtime deployment targets
Requirements
• 3+ years of experience in DevOps or platform engineering
• Experience deploying containerized Python AI workloads to AWS (ECS or EKS)
• Expertise in CI/CD pipeline design at team scale
• Background in infrastructure-as-code within production environments
• English proficiency at B2 level or higher
Nice to have
• Experience packaging and publishing internal Python SDKs
• Knowledge of observability tooling such as OpenTelemetry, CloudWatch and Prometheus Senior DevOps / Platform Engineer
We are seeking a Senior DevOps / Platform Engineer to own the CI/CD pipeline, packaging and deployment infrastructure for our agent development framework SDK, ensuring reliable and automated delivery of agent workloads to AWS.
