Why This Role Stands Out
Advance your platform engineering career with this hybrid opportunity at MethodHub, where you'll gain hands-on experience with cutting-edge AWS AgentCore and AI technologies. This role is ideal for experienced engineers who thrive in collaborative, agile environments and are eager to shape the future of AI-driven platforms. Apply now to join a reputable company and contribute to innovative projects with significant growth potential.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Reading, PA, United States
Posted
1 week ago
AWSAgileConfluenceLLMTerraform
Job Description
Role: AWS AgentCore Platform Engr
Location: Reading, PA (Hybrid 2-3 days/wk)
Interview: Virtual
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
Mandatory Skills:
- 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
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