Senior AWS Agentcore Platform Engineer; Client Job Exton area,Pennsylvania USA,IT/Tech

Position: Senior AWS Agentcore Platform Engineer (Client: )

Senior AWS Agentcore Platform Engineer (Client: )

IRC: IRC
292142

Position Type:
Contract to hire after initial 6 months

Location:

Reading, PA or Exton, PA (Hybrid 2-3 days a week from office)

Job Description:

Observability & Distributed Tracing

Gap Analysis:
Assess AWS Cloud Watch, X-Ray, Bedrock logging, and Agent Core traces against agentic workflow requirements; produce a comprehensive gap analysis and lead the setup of observability within Dynatrace.

Validation Pipelines:
Design and implement post-deployment validation pipelines for agents and Model Context Protocol (MCP) servers, ensuring deployment health and successful tool registration.

Tracing & Logging:
Implement distributed tracing and structured logging to capture LLM decision logic, tool selections, sub-agent calls, and MCP interactions.

Architecture Strategy:
Evaluate Lang Fuse and LiteLLM proxies against AWS-native solutions; deliver a target-state observability architecture recommendation.

Cost Tracking & TCO (Total Cost of Ownership)

Taxonomy Expansion:
Extend tagging taxonomy to capture costs across agent runtimes, MCP servers, vector databases, and Bedrock token consumption per namespace.

Cost Modeling:
Design a granular cost visibility model to aggregate expenses for agents, MCPs, and LLM tokens by team and department.

Dashboards & Alerting:
Build Cloud Watch (or equivalent) dashboards for per-team spending; configure AWS Budgets with proactive alerting thresholds.

Automation:
Automate cost reporting via email and Microsoft Teams, incorporating anomaly detection rules to identify spend spikes.

Monitoring & Incident Management

Alerting Framework:
Define and implement P1–P4 alerting rules covering deployment failures, runtime errors, tool invocation failures, and MCP connectivity issues.

Incident Integration:
Integrate alert notifications with Microsoft Teams and email, utilizing resource ownership tags for intelligent routing.

Operational Excellence:
Author detailed runbooks for every alert; publish and maintain these in Confluence to facilitate developer self-service resolution.

Stack Evaluation:
Compare AWS-native vs. third-party monitoring stacks to deliver a long-term recommendation aligned with the broader observability architecture.

Security & Governance

Risk Assessment:
Evaluate current IAM and tagging strategies for multi-team isolation; identify scalability gaps and potential security risks.

Policy Engines:
Assess the Cedar policy engine (Agent Core) for fine-grained tool access control and document gaps for enterprise-scale deployment.

Identity Architecture:
Design a scalable Attribute-Based Access Control (ABAC) identity model to ensure multi-team isolation without IAM policy sprawl; deliver production-ready Terraform modules.

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