Senior Storage Engineer - AI Cloud Infrastructure

Lambda; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Cash & equity

Health, dental, vision

Wellness stipend

401k with match

Flexible PTO

Job summary

Lambda, The Superintelligence Cloud, is building the world's premier AI cloud storage platform in the San Francisco Bay Area. We seek a Senior Software Engineer to join the storage team, developing next‑generation storage software for a multi‑vendor, multi‑protocol environment that powers AI training and inference across petabyte-scale datasets.

You will design scalable control planes, implement declarative abstractions, and lead orchestration with Kubernetes, while ensuring security,

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 5+ years of experience in software development for storage systems.
• Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency.
• Strong programming skills in languages such as C, C++, Go, or Python.
• Experience with Linux kernel internals and system-level programming.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments.
• Familiarity with CI/CD and QA practices for distributed systems development environments.

Responsibilities

• Design and build a vendor-agnostic control plane that provisions, scales, heals, and meters storage across platforms (VAST Data, WEKA, DDN, Pure, NetApp, Ceph, MinIO).
• Define the internal abstraction layer to hide vendor APIs behind a single declarative interface.
• Build reconciliation-loop and CRD-based orchestration (Kubernetes controllers, operators, custom schedulers).
• Own multi-tenant isolation end to end: namespace, per-tenant QoS and rate limiting, credential lifecycle, blast-radius containment.
• Design the capacity and placement engine: PCIe/topology aware, NUMA-aware, failure-domain-aware.
• Instrument the observability pipeline with SLI/SLO definitions and fleet-wide performance regression detection.

Skills

Distributed systems

C/C++

Go

Python

Linux kernel

Storage protocols

Education

Bachelor's or Master's in Computer Science

Tools

Docker

Kubernetes

Ceph

DAOS

Job description

Lambda, The Superintelligence Cloud, is building the world's premier AI cloud storage platform in the San Francisco Bay Area. We seek a Senior Software Engineer to join the storage team, developing next‑generation storage software for a multi‑vendor, multi‑protocol environment that powers AI training and inference across petabyte-scale datasets.

You will design scalable control planes, implement declarative abstractions, and lead orchestration with Kubernetes, while ensuring security,