Job Title: Senior AWS AgentCore Platform Engineer
Location: Reading, PA or Exton, PA (Hybrid – 2–3 days onsite)
Duration: / Term: 6+ months – Contract
Job Description:
Experience Desired: 10+ Years.
Qualification:
We are seeking a Senior AWS AgentCore Platform Engineer to design and scale observability, cost management, monitoring, and security frameworks for next-generation agentic AI workflows on AWS. This role will focus on distributed tracing, LLM observability, cost optimization, and governance across AgentCore platforms, MCP servers, and AWS Bedrock integrations.
Responsibilities:
1. Observability & Distributed Tracing
- Perform gap analysis across AWS CloudWatch, X-Ray, Bedrock logging, and AgentCore traces
- Design and implement end-to-end observability using Dynatrace
- Build post-deployment validation pipelines for agents and MCP servers
- Implement distributed tracing & structured logging for:
- LLM decision flows
- Tool usage
- Sub-agent interactions
- Evaluate LangFuse, LiteLLM proxies, and AWS-native tools and define target architecture
2. Cost Tracking & TCO
- Enhance AWS tagging taxonomy for:
- Agent runtimes
- MCP servers
- Vector databases
- Bedrock token usage
- Build granular cost models by team, department, and workload
- Develop CloudWatch dashboards & AWS Budgets alerts
- Automate cost reporting (Email + Microsoft Teams) with anomaly detection
3. Monitoring & Incident Management
- Deployment failures
- Runtime errors
- Tool invocation failures
- MCP connectivity issues
- Integrate alerts with Microsoft Teams & Email
- Create and maintain runbooks in Confluence
- Evaluate AWS-native vs third-party monitoring tools
4. Security & Governance
- Conduct IAM and tagging strategy risk assessments
- Evaluate Cedar policy engine (AgentCore) for fine-grained access control
- Design ABAC (Attribute-Based Access Control) architecture
- Build scalable Terraform modules for identity and access management
Key Skills:
Cloudwatch, X-Ray, Dynatrace, LLM platforms, Terraform
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