Senior AI Platform Finops Engineer

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·         7+ years of experience in production operations, SRE, platform support, DevOps, or cloud infrastructure engineering.

·         Strong hands-on experience supporting distributed systems in production, including Linux systems, containers, CI/CD, and cloud-native services.

·         Strong experience in monitoring, logging, alerting, incident response, and service health management.

·         Experience writing and maintaining operational runbooks, troubleshooting guides, and recovery procedures.

·         Experience with identity, access control, audit logging, secrets handling, and security-aware platform operations.

·         Experience supporting AI, data, or analytics platforms in production environments is strongly preferred.

·         Strong scripting or development capability in Python and other automation-friendly languages.

·         Ability to collaborate effectively across engineering, security, support, and business teams during operational events.

Preferred qualifications

·         Experience with enterprise AI platform operations, including model-serving services, agent runtimes, prompt governance, or evaluation systems.

·         Experience with Databricks, Dataiku, MLflow, Airflow, or similar platforms requiring production-grade operational governance.

·         Experience with AKS or Kubernetes-backed platform operations, including autoscaling, certificate management, identity delegation, and cluster troubleshooting.

·         Experience with Apigee X or similar API management platforms for production operations and secure service exposure.