Engineering Manager - AI DevOps

This role is based in Santa Clara, CA or can be performed remotely.

Compensation:

$224,000 - $425,500/year based on experience and level.

Responsibilities:

• Supervise a team of DevOps engineers with expertise in AI inference infrastructure and test automation.
• Architect and implement scalable test automation strategies for AI inference workloads.
• Maintain GitHub First public CI infrastructure focusing on GPU testing.
• Drive Infrastructure as Code efforts using Terraform, Ansible, and Kubernetes.
• Ensure operational proficiency with 24x7 on-call rotations and automated monitoring.

Requirements:

• Bachelor's/Master's degree in Computer Science or equivalent.
• 4+ years leading DevOps/SRE organizations.
• 8+ years in software development or infrastructure engineering with AI/ML workloads.
• Proficiency in Infrastructure as Code platforms and multiple cloud environments.
• Strong technical leadership in test automation frameworks and CI/CD pipeline development.