AI DevOps Tech Lead

Job Description

Your New Role

• Partner closely with AI/ML, Data and Software Engineers
• Build and maintain the infrastructure supporting AI workloads and applications
• Own the CI/CD and deployment architecture across engineering
• Develop scalable and highly reliable Kubernetes platforms
• Automate infrastructure, deployments and operational processes
• Act as the bridge between AI engineering and infrastructure

Your Experience

• 6+ years in DevOps, Platform Engineering, Site Reliability or AI Engineering roles
• Strong production Kubernetes experience (on-premise or cloud)
• Strong automation skills in Python or Golang
• Experience supporting AI/ML, Data or highly compute-intensive engineering environments
• Experience with tools/platforms such as MLflow, Kubeflow, Ray, Airflow, or similar
• Understanding of LLM application infrastructure, model serving, inference or AI platforms

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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