On LLMOp/DevOps they are looking for people who have setup and operated the Agentcore runtime setting. DevOps MUST AI-DLC practices Agentic code generation (Claude Code SDK, Kiro CLI) with human-in-the-loop checkpoints GitHub Actions: reusable workflows, environments and approvals, OIDC federation to AWS Container image builds and Amazon ECR (AgentCore Runtime requires ARM64 images) AgentCore Runtime deployment (versions, endpoints, rollback) and VPC mode VPC endpoints / PrivateLink and security groups Event-driven automation: EventBridge, Lambda, Step Functions Terraform IAM for CI/CD SHOULD AgentCore Gateway rate limits and PortKey admin API (kill switch) Game-day practice with audit evidence Image signing (Cosign)



Python COULD Strands Agents SDK Backstage templates ROSA / OpenShift networking (later phase) AI eng MUST AgentCore Evaluations and Bedrock evaluation Golden-dataset design and curation with SMEs LLM-as-judge design and calibration against human labels Integrating evaluations as a CI gate Langfuse / OpenTelemetry Python SHOULD RAGAS or equivalent Trajectory evaluation Understanding of agentic red-teaming results (to feed them into the gate) COULD Bedrock Guardrails Sampling design for continuous evaluation Strands Agents SDK

📌 GenAI DevOps Engineer / AI Engineer (Canada)
🏢 Accion Labs
📍 Canada