Back
Metro Bangalore, common DevOps title but senior level and niche MLOps/platform skills yield medium competition.
Deep AWS, Terraform, Kubernetes and agentic MLOps expertise create strong domain specificity, reducing cross-industry fit.
Explicit 8+ years plus mandatory AWS, Terraform, Kubernetes and agentic MLOps requirements make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own design, build, and operation of a shared AWS cloud platform for traditional and agentic AI workloads ensuring platform stability and scalability.
Develop and maintain Infrastructure as Code using Terraform for security, consistency, and repeatability across environments.
Lead integration of agentic AI capabilities including execution runtimes, secure data access, platform guardrails, CI/CD pipelines, and observability.
8+ years experience in DevOps, Platform Engineering, or Site Reliability Engineering roles.
Deep hands-on expertise with AWS services like EC2, EKS/ECS, VPC, IAM, S3, RDS/DynamoDB, CloudWatch, Lambda.
Strong production experience with Terraform including modular architecture design and multi-account management.
Work Experience Required: 8+ years. Location: Bengaluru, India. English proficiency at B2 Upper Intermediate level required.
Experienced in supporting Enterprise-grade Agentic AI infrastructure integrated with existing cloud platforms with scalability and governance focus.
Technical leader capable of collaborating across application, AI/ML, and security teams to improve developer experience and operational readiness.
Familiarity with containerized Kubernetes platforms, MLOps components, and security best practices aligned to enterprise requirements.