We are hiring a DevOps Engineer to support and scale our Data and AI platform in production.
This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.ResponsibilitiesBuild and operate infrastructure for data pipelines and AI/ML workloadsDevelop and maintain CI/CD for application and model lifecycle (build, train, deploy)Support containerized workloads and orchestration (Docker, Kubernetes)Partner with Machine Learning teams and engineering to productionize modelsImplement monitoring, logging, and tracing for data flow and model performanceImprove reliability, scalability, and cost efficiency of data systemsEnforce security and access controls for data and infrastructureReduce operational overhead through automation and toolingRequired Qualifications3+ years of experience in DevOps, SRE, or infrastructure engineeringEnd...