Senior AWS DevOps / Platform Engineer (Agentic AI Infrastructure)

Senior AWS DevOps / Platform Engineer responsible for building, securing, and operating AWS cloud environments for Agentic AI and Python microservices. The role focuses on containerization, infrastructure-as-code, CI/CD pipelines, telemetry, SRE practices, and FinOps optimization to ensure high reliability and cost efficiency.

• 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

• 6+ years of experience in AWS Platform Engineering, DevOps, or Site Reliability Engineering
• 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