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.

📌 Senior AWS DevOps / Platform Engineer (Agentic AI Infrastructure) (Maharashtra)
🏢 Jigya Software Services
📍 Maharashtra