Required qualifications
7+ years of experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering, with strong production operations ownership.
Solid hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure design.
Solid experience with Docker, Kubernetes, Linux administration, Git workflows, and system administration fundamentals.
Hands-on development experience in Python and at least one additional language such as Node.js or Java.
Experience with MLOps concepts such as model packaging, artifact management, deployment pipelines, inference operations, and rollback strategies.
Experience operating AI or data platforms such as Databricks, MLflow, Airflow, or similar enterprise ML tooling.
Solid understanding of observability, logging, alerting, and performance monitoring for distributed systems and AI workloads.
Experience with secrets management, access control, and auditability in enterprise environments.
Working knowledge of Apigee X or similar enterprise API gateway platforms

📌 Senior Ai Platform Ops Engineer Bengaluru (India)
🏢 Recruise India Consulting
📍 India