- Work model
- Remote
- Experience
- 3+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 10 tags
Technology context
10Parsed from the vacancy text; ordered by relevance to this role.
AIAWSPythonDevOpsDockerCI/CDPrometheusOpenTelemetryPlatform EngineeringUV
Full listing
Role description
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.
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