Senior/Lead DevOps + MLOps Engineer

Design, build, and operate a shared AWS cloud platform supporting traditional and agentic AI workloads with focus on stability, scalability, and security.

Own and evolve Infrastructure as Code using Terraform to enable secure, consistent platform environments and support Enterprise-grade Agentic AI systems including execution runtimes, data access, governance, and cost control.

Develop and maintain CI/CD pipelines, platform abstractions, observability tools, and enforce security practices while collaborating with cross-functional teams to improve developer experience and platform reliability.

8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.

Deep hands-on AWS expertise covering EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda and strong knowledge of VPC design and security.

Strong Terraform expertise with experience designing modular architectures and managing multi-account setups.

Proficient in Linux administration, scripting (Python, Bash), container technologies (Docker, Kubernetes/EKS), and familiarity with AWS AI services such as Amazon Bedrock and SageMaker.

Experienced in operating and evolving enterprise-scale cloud platforms that integrate agentic AI and traditional workloads securely and reliably.

Skilled in enabling AI-augmented development workflows including agentic SDLC tools, automation within CI/CD pipelines, and platform governance.

Proven technical leader capable of influencing platform architecture, standards, operational readiness, and cross-team collaboration in complex cloud and AI environments.