Devops Engineer

Primary & Mandatory Skill: DevOps, Kubernetes cluster administration, Containerization & orchestration ,CICD Integration, Docker, OpenShift in on-prem environments, Scripting.

Location: Chennai & Bangalore

Key Responsibilities:

Kubernetes Cluster Administration

• Administer, monitor, and maintain production-grade Kubernetes clusters deployed in on-prem datacentre.
• Perform cluster lifecycle operations including upgrades, patching, node provisioning, and capacity planning.
• Implement and manage RBAC, network policies, Pod-Security Policies, and Namespaces for multi-tenant environments.
• Maintain Ingress controllers, service meshes, and API gateways.
• Troubleshoot cluster-level issues including node failures, pod scheduling, and resource bottlenecks.

Containerization & Orchestration

• Build and manage Docker images, Compose files, and private registries.
• Deploy and orchestrate microservices using Kubernetes, Helm charts, and Red Hat OpenShift.
• Optimize container resource usage, autoscaling policies, and affinity/anti-affinity rules.

CI/CD Integration

• Design and maintain CI/CD pipelines using DevOps tools
• Automate deployment of containerized AI applications into Kubernetes clusters.
• Develop reusable pipeline templates and scripts for rapid onboarding and POC delivery.

AI Workflow Enablement (ClearML)

• Integrate ClearML for experiment tracking, model versioning, and pipeline orchestration.
• Collaborate with AI/ML teams to deploy containerized models and automate GPU job scheduling.
• Build custom ClearML agents and workflows for reproducible experimentation and deployment.
• Exposure and prior knowledge of GPU segmentation & resource management using BCM & NVAIE is desirable.
• Understanding/knowledge of Vector DBs would be good to have.

Scripting & Tooling

• Develop automation scripts in Shell, Python
• Build internal tools to streamline cluster operations and observability.