AWS DevOps Engineer(Hybrid)
Job TitleAWS DevOps Engineer (Hybrid)LocationReading, PADuration6 MonthsInterview TypeVirtual / In-PersonNoteHybrid role requiring 2-3 days per week at the client office in Reading, PA; contract-to-perm is marked Yes.Job DescriptionRequirementsExperience: 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 runtimeImplementation of Agentic SDLC in AgentcoreUnderstanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AIImplementation of Bedrock Knowledge BaseImplementation of Knowledge GraphImplementation of MCP servers in AgentcoreImplementation of Agentcore GatewayImplementation of Agentcore IdentityImplementation of Agentic AI ObservabilityImplementation of Agentcore EvaluationsImplementation of AWS BedrockImplementation of AWS Bedrock Inference ProfileImplementation of AWS SagemakerAWS Services (Cloud) in GeneralTerraformDeiliverables:ObservabilityAssess CloudWatch, X-Ray, Bedrock logging, AgentCore traces vs. agentic workflow requirements; produce gap analysis, Setup observability in DynatraceDesign 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 interactionsEvaluate LangFuse / LiteLLM proxy vs. AWS-native; deliver target-state observability architecture recommendationCost Tracking & TCOExtend tagging taxonomy to cover agent runtimes, MCP servers, vector DBs, Bedrock token consumption per namespaceDesign cost visibility model: aggregate agent, MCP, vector DB, and Bedrock token costs per team/departmentBuild CloudWatch (or equivalent) dashboards for per-team spend; configure AWS Budgets with alerting thresholdsAutomate cost reports delivered via email / Microsoft Teams; implement anomaly detection rulesMonitoring & AlertingDefine P1-P4 alerting rules: deployment failures, runtime errors, tool invocation failures, MCP connectivity issuesIntegrate alert notifications to Microsoft Teams channels and email; route by resource ownership tagsAuthor runbooks linked to every alert; publish in Confluence for developer self-service resolutionEvaluate AWS-native vs. third-party monitoring stack; deliver recommendation aligned to observability architectureSecurity & Access ControlAssess current IAM + tagging approach for multi-team isolation; identify scalability gaps and risksEvaluate Cedar policy engine (AgentCore) for fine-grained tool access control; document enterprise-scale gapsDesign scalable ABAC-based identity model for multi-team isolation without IAM policy sprawl; deliver Terraform modulesS.NoQualifying QuestionMandatory1Is your candidate willing to relocate for this position?Yes2Has your candidate answered the questions at the bottom for submission to CWC?YesTop Skills & Years of ExperienceS.NoCustom Skill RequirementYears18+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).7+2Deep proficiency in AWS, including IAM, CloudWatch, Bedrock, and Lambda.7+3Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.7+4Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore.7+5Advanced experience with Terraform and CI/CD pipeline design.7+6Experience working in an Agile environment with Microsoft Teams and Confluence.7+Recruiter DetailsContact: Praveen - praveen@gsksolutions.com - Eight three two - Nine Nine Zero - Two four two seven