Staff Storage Engineer
Lambda · San Francisco Office · Data Center Business
About this role
Lambda is hiring a staff-level Storage Engineer in the operations function based in San Francisco Office (hybrid). The posting calls out experience with Kubernetes, Terraform, Ansible, Serverless and roughly 8+ years of relevant work. Compensation is listed at $349,000–$523,000 per year.
- Role
- Storage Engineer
- Function
- operations
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco Office
- Work mode
- Hybrid
- Experience
- 8+ years
- Department
- Data Center Business
- Posted
- Mar 16, 2026
More roles at Lambda
Job description
from Lambda careersLambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
This is an excerpt. Read the full job description on Lambda careers →