DevOps Specialist

We are seeking a highly skilled Senior DevOps / ML Ops Engineer to lead core infrastructure responsibilities across DevOps, MLOps, and IT/security.

Location: Palo Alto, CA (Onsite Mon Thu)

Type: Contract-to-Hire or Full-Time

Duration: 6 months (extension/CTH likely)

Responsibilities:

• Manage Kubernetes clusters, including GPU resource scheduling, scaling, and performance optimization
• Build and maintain automated ML pipelines (Kubeflow, Ray, etc.)
• Support internal tools (Google Workspace, GitLab, CI/CD integrations)
• Implement cybersecurity best practices
• Troubleshoot HW/SW/network issues across the org
• Drive high-impact DevOps and MLOps initiatives in a cross-functional engineering environment

Qualifications:

• Bachelor s in CS, IT, or related field; Master s/Ph.D. preferred
• 3+ years working with Kubernetes in production
• Experience with ML lifecycle management and distributed model training
• Strong automation and systems engineering background
• Familiarity with MLOps tools like DVC, Pachyderm, Kubeflow, and ModelDB
• Strong security awareness
• Startup experience
• Biological or chemistry domain knowledge is a plus
• Leadership experience supporting engineering teams