Senior AI Platform Ops Engineer

Required qualifications

• 7+ years of experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering, with strong production operations ownership.
• Strong hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure design.
• Strong 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.
• Strong 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