Senior AWS Agentcore Platform Engineer

Hi

Please check the job description as below and let me know you if you would be interested and available. Please let me know your available time for a quick call.

Role: Senior AWS Agentcore Platform Engineer
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:

1. Observability & Distributed Tracing
Gap Analysis: Assess AWS CloudWatch X-Ray Bedrock logging and AgentCore 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 LangFuse and LiteLLM proxies against AWS-native solutions; deliver a target-state observability architecture recommendation.

2. 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 CloudWatch (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.

3. 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.

4. 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 (AgentCore) 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.

Thanks & Regards.

Isaac Rajiv

Kutir Corporation

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