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Metro location and common DevOps title balanced by senior, niche agentic-AI platform requirements.
AWS/Terraform/Kubernetes and agentic MLOps needs make cross-industry transfer limited.
Mandatory 8+ years plus deep AWS, Terraform, and enterprise agentic-AI platform experience enforces strict filters.
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Design, build, and operate a shared AWS cloud platform supporting both traditional and agentic AI workloads focusing on stability, scalability, and security.
Own and evolve Infrastructure as Code (Terraform) for environment consistency, and build platform abstractions enabling safe consumption of agentic capabilities.
Lead integration and support of AI-augmented SDLC tools, maintain CI/CD pipelines, enforce observability and security best practices, and drive platform architecture and standards.
8+ years in DevOps, Platform Engineering, or SRE roles with deep hands-on AWS expertise (EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda).
Strong experience with Terraform including modular architectures, multi-account setups, and state management.
Proven track record supporting Enterprise-grade Agentic AI infrastructure, including agent execution, scalability, observability, and governance.
Work Experience Required: 8+ years in relevant roles
Experienced in building and operating enterprise-scale cloud platforms integrating AI/agentic workloads with traditional services.
Skilled in architecting secure, scalable infrastructure with focus on platform reliability, observability, and operational readiness.
Familiar with AI-augmented development workflows and capable of collaborating cross-functionally with AI/ML and security teams to improve developer experience and enforce governance.