Devops Engineer

Overview

DevOps Engineer role (AI/ML focus) responsible for building and maintaining CI/CD pipelines and infrastructure to deploy AI/ML applications reliably and securely.

What you'll do

• Automate build, test, and release pipelines using tools including Jenkins, Tekton, Harness, and GitHub Actions.
• Manage infrastructure-as-code (IaC) with Terraform, Ansible, and Helm.
• Support ML model deployment, versioning, retraining, and rollback.
• Containerize models using Docker and Kubernetes/OpenShift.
• Build and maintain ML workflow orchestration using Kubeflow, MLflow, or Airflow.
• Implement monitoring including model drift detection and production observability using Grafana, Prometheus, and Splunk/ELK.

What you'll need

• 2–5 years DevOps/SRE experience.
• Python scripting experience.
• Kubernetes and Docker experience.
• Experience with one major cloud platform.
• Git-based version control experience.
• Bachelor’s degree/University degree or equivalent experience.
• Embed security scans (SAST/DAST and OSS scanning) into pipelines and follow SDLC/change management standards.

Details

• Location: Pune, Maharashtra, India.
• Employment type: Full time.