Senior Staff AI Data Engineer - GKE Storage & Kubernetes

Google; United States; On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Holidays

Job summary

Google's Senior Staff Software Engineer for GKE AI Data will help design and own storage solutions for AI/ML workloads on Kubernetes, across block, file and object storage, with global impact.

You will collaborate with storage teams and OSS communities, mentor engineers, and drive architectural direction while engaging cross-functional partners to deliver scalable, industry-standard solutions.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++.
• 5 years of experience with design and architecture; and testing/launching software products.

Responsibilities

• Guide the architectural direction for GKE AI Data ensuring a scalable, performant and efficient storage solution for AI-ML workloads running on K8s across block, file and object storage.
• Drive storage solutions for evolving AI/ML issues, including KV Caching, fast model loading, and re-envisioning storage for agentic workloads.
• Partner with multiple storage teams in google cloud platform (GCP) to drive alignment and clarity around strategy and execution.
• Lead the broader Kubernetes ecosystem and Open Source Software (OSS) community, driving key upstream initiatives to establish industry standards for storage solutions.
• Imagine, architect, and lead the technical execution of industry-defining standards through both direct, technical work and by mentoring and guiding teams of engineers.

Skills

C++

System design

Distributed systems

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Job description

Google's Senior Staff Software Engineer for GKE AI Data will help design and own storage solutions for AI/ML workloads on Kubernetes, across block, file and object storage, with global impact.

You will collaborate with storage teams and OSS communities, mentor engineers, and drive architectural direction while engaging cross-functional partners to deliver scalable, industry-standard solutions.