Position : Senior AWS DevOps / Platform Engineer (Agentic AI Infrastructure).Location : Hybrid (Pan-India).About the Client & Role Context :Our client is advancing its digital transformation by operationalizing next-generation Agentic AI and Autonomous Workflows. Moving beyond basic LLM wrappers, they are deploying production-ready AI agents integrated deep within enterprise cloud backends. We are seeking a hands-on Senior AWS DevOps / Platform Engineer who will own the execution pipeline to transition Agentic AI workloads from Proof-of-Concept (POC) into secure, scalable, and observable AWS production environments. This is a pure build-and-run engineering role focused on high reliability and cloud economics.Core Responsibilities :- Build, secure, and operate DEV, TEST, and PROD AWS cloud environments dedicated to Agentic AI and Python microservices.- Containerize agentic AI systems using Docker, Amazon EKS/ECS, and Amazon Bedrock AgentCore.- Define and maintain infrastructure-as-code using Terraform, enforcing zero-trust networking, IAM workload identities, and KMS key management.- Design DevSecOps CI/CD pipelines incorporating static code analysis, vulnerability scanning, continuous integration, and dynamic AI evaluation/guardrail gates.- Implement end-to-end telemetry utilizing OpenTelemetry (ADOT), Amazon CloudWatch,



and distributed tracing across agent sessions.- Establish SRE practices including Service Level Objectives (SLOs), automated failure domain isolations, and root-cause analysis (RCA) frameworks.- Apply FinOps practices to optimize AWS resource utilization, token consumption costs, and container execution performance.Required Qualifications & Experience :- 6+ years of hands-on experience in AWS Platform Engineering, DevOps, or Site Reliability Engineering.- Demonstrated experience delivering containerized Python/Node applications into live AWS production.- Direct production exposure to Amazon Bedrock and/or Bedrock AgentCore frameworks.- Deep technical expertise in Kubernetes (EKS), Docker, and Terraform IaC.- Advanced pipeline automation skills using GitHub Actions, GitLab CI, or Jenkins with integrated DevSecOps scanning.- Strong proficiency in OpenTelemetry (ADOT) or enterprise APM tools for distributed tracing.- Practical automation skills using Python and Bash scripting.- Strong grasp of FinOps principles within AWS cloud ecosystems.Preferred Qualifications :- Experience with GitOps (ArgoCD / Helm), AgentOps, or MCP tool integrations.- Working knowledge of multi-account AWS architectures (Control Tower, AWS Organizations).- Certifications : AWS Certified DevOps Engineer Skilled or AWS Certified Solutions Architect Professional. (ref:hirist.tech)

📌 Senior AWS DevOps/Platform Engineer (Pune)
🏢 Jigya Software Services (P
📍 Pune