devops engineer for containerized AI agents

The AI Agent Platform helps teams package, scan, version, and promote containerized agents consistently. It provides automated workflows for agent builds, registry integration, traceability, and release governance.

• Build ARM64 agent containers in CI/CD pipelines;
• Run security scans for agent images and workflows;
• Push agent images to AWS ECR with semantic versioning tags and git SHA tags;
• Trigger AgentCore Runtime version creation through automated workflows;
• Integrate automatic agent version registration with metadata including git SHA, evaluation status, and promotion status;
• Implement GitHub Actions workflows for matrix builds;
• Support agent-specific security scans for prompt injection and PII leakage;
• Maintain the agent version metadata schema, including version ID, container digest, timestamp, evaluation results, and tool or policy bindings.

• 3+ Years of DevOps or platform engineering experience with AI or ML pipelines;
• Experience implementing CI/CD pipelines for containerized AI agents or ML models;
• Experience managing container registries and tagging strategies;
• Experience with security scanning in CI/CD, including vulnerabilities, secrets, and compliance;
• Nice to have: Experience with AWS AgentCore Runtime endpoint management API, experience with agent evaluation gate integration to block promotion if evaluation fails, experience with GitOps promotion patterns for agents, experience with LangChain or LangGraph agent packaging and deployment.

• Vacation according to the laws of the employee’s country;
• Health insurance for the employee and their loved ones;
• Sick pay: 10 days without a doctor’s note, afterwards according to the laws of the employee’s country;
• Time off for state holidays according to the official calendar;
• Two large corporate parties and smaller colleague gatherings;
• Technical and everyday workplace support;
• The benefits package may vary depending on the region and the type of contract.