Senior AWS Agentcore Platform Engineer

Must have skills: Agentcore, Terraform, AWS, Devops/SRE, Bedrock, IAM, MLOPS, Sagemaker.

Job Description

Observability:

• Assess CloudWatch, X-Ray, Bedrock logging, AgentCore traces vs. agentic workflow requirements; produce gap analysis, Setup observability in Dynatrace.
• Design post-deployment validation pipeline for agents & MCP servers (deployment health + tool registration checks).
• Implement distributed tracing & structured logging: LLM decisions, tool selections, sub-agent calls, MCP interactions.
• Evaluate LangFuse / LiteLLM proxy vs. AWS-native; deliver target-state observability architecture recommendation.

Cost Tracking & TCO:

• Extend tagging taxonomy to cover agent runtimes, MCP servers, vector DBs, Bedrock token consumption per namespace.
• Design cost visibility model: aggregate agent, MCP, vector DB, and Bedrock token costs per team/department.
• Build CloudWatch (or equivalent) dashboards for per-team spend; configure AWS Budgets with alerting thresholds.
• Automate cost reports delivered via email / Microsoft Teams; implement anomaly detection rules.

Monitoring & Alerting:

• Define P1–P4 alerting rules: deployment failures, runtime errors, tool invocation failures, MCP connectivity issues.
• Integrate alert notifications to Microsoft Teams channels and email; route by resource ownership tags.
• Author runbooks linked to every alert; publish in Confluence for developer self-service resolution.
• Evaluate AWS-native vs. third-party monitoring stack; deliver recommendation aligned to observability architecture.

Security & Access Control:

• Assess current IAM + tagging approach for multi-team isolation; identify scalability gaps and risks.
• Evaluate Cedar policy engine (AgentCore) for fine-grained tool access control; document enterprise-scale gaps.
• Design scalable ABAC-based identity model for multi-team isolation without IAM policy sprawl; deliver Terraform modules.

Department/Project Description:

Work with Client team to harden the new AWS AgentCore platform being setup so it can be used by teams to develop and deployAI agents.