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 both traditional services and agentic AI workloads with focus on platform stability and scalability.
Own and evolve Infrastructure as Code using Terraform for consistency, security, and repeatability across environments.
Lead integration of agentic SDLC tools, develop CI/CD pipelines, and implement platform-level observability and security best practices.
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.
Strong experience with Terraform, Linux administration, Docker, Kubernetes (EKS preferred), and scripting in Python and Bash.
Work Experience Required: 8+ years; Location: Noida, India; Languages: English (B2 Upper Intermediate).
Ideal Candidate Profile
Experienced in operating and scaling enterprise-grade cloud platforms with agentic AI capabilities integrated.
Proven skills in combining traditional cloud infrastructure with emerging AI/ML and agent-based automation workflows.
Able to lead technical architecture discussions and build platform abstractions to enable developer teams safely consuming AI-driven services.