Senior/Lead DevOps + MLOps Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate a shared AWS cloud platform supporting traditional and agentic AI workloads with focus on platform stability, security, and scalability.
Own and evolve Infrastructure as Code (IaC) with Terraform, ensuring consistency, security, and repeatability across environments.
Lead technical architecture, platform standards, and operational readiness while enabling AI-augmented SDLC workflows and developer enablement.
Minimum Requirements
8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.
Deep hands-on AWS expertise including EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda.
Production experience with Terraform including modular architectures and multi-account management.
Work Experience Required: 8+ years; Location: Senior level position in Hyderabad, India.
Ideal Candidate Profile
Experienced in integrating and operating Enterprise-grade Agentic AI infrastructure within AWS cloud platforms under strict security and compliance.
Proficient in Terraform-based IaC, Linux administration, networking, and scripting (Python, Bash) for automation and operational tasks.
Demonstrated ability to support AI/ML platform services including AI-assisted SDLC tools, CI/CD pipelines, and observability for agentic AI workloads.