AWS AgentCore Platform Engineering

TechDoQuest; Reading (Berks County); On-site; USD 140,000 - 210,000; Full time

Job summary

TechDoQuest is seeking a senior Platform Engineer/DevOps professional in the United States to drive cloud-native platforms, observability, and cost governance. You will own end-to-end reliability, implement distributed tracing, and optimize agent runtimes within a fast-moving, Agile team.

The role requires strong AWS skills (IAM, CloudWatch, Bedrock, Lambda), Terraform expertise, and experience with Dynatrace or Jaeger.

Qualifications

• 8+ years in Platform Engineering, DevOps, or SRE.
• Deep AWS expertise (IAM, CloudWatch, Bedrock, Lambda).
• Proven observability experience with Dynatrace, Jaeger, or Honeycomb and distributed tracing.
• Familiarity with LLM lifecycle, LangChain or AgentCore.
• Advanced Terraform and CI/CD pipeline design experience.
• Experience in Agile environments with Teams & Confluence.

Responsibilities

• Evaluate observability requirements and gap analysis for Dynatrace vs. agentic workflows.
• Design post-deployment validation pipelines for agents and MCP servers.
• Implement distributed tracing and structured logging for LLM decisions and MCP interactions.
• Develop cost visibility models and dashboards for per-team spend across agent runtimes and Bedrock usage.
• Create and publish runbooks linked to alerts in Confluence; enable self-service resolutions.

Skills

Platform Eng

DevOps

SRE

Agile

CI/CD

Observability

Team collaboration

Tools

Terraform

Dynatrace

Jaeger

Honeycomb

AWS Bedrock

CloudWatch

X-Ray

LangChain

AgentCore

Bedrock Knowledge Base

Sagemaker

Job description

Requirements Experience: 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda). Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards. AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore. Automation: Advanced experience with Terraform and CI/CD pipeline design. Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence. User this when submitting candidates: Also please check if the next candidate has some experience with at least 50% of below items: Implementation of Agents on Agentcore runtime Implementation of Agentic SDLC in Agentcore Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI Implementation of Bedrock Knowledge Base Implementation of Knowledge Graph Implementation of MCP servers in Agentcore Implementation of Agentcore Gateway Implementation of Agentcore Identity Implementation of Agentic AI Observability Implementation of Agentcore Evaluations Implementation of AWS Bedrock Implementation of AWS Bedrock Inference Profile Implementation of AWS Sagemaker AWS Services (Cloud) in General Terraform

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 P1P4 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