Senior Storage Control Plane Engineer

Frontdoor Defense; San Jose (CA); Hybrid; USD 266,000 - 395,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401k with 2% company match

Flexible paid time off

Job summary

Lambda seeks a Senior Software Engineer to build a vendor-agnostic storage control plane powering AI workloads. You will design an abstraction layer over diverse storage protocols and implement CRD-based orchestration for scalable, multi-tenant environments.

Join a team focused on high-performance AI storage, networking, and compute, contributing to a scalable data plane across data centers with strong emphasis on reliability and performance.

Qualifications

• 5+ years of experience in software development for storage systems.
• Proven experience with distributed systems programming and concepts (load balancers, data-durability, consensus, fault tolerance).
• Strong programming skills in C, C++, Go, or Python.
• Experience with Linux kernel internals and system-level programming.
• Experience with storage protocols (e.g. S3, NFS) and file systems (Ceph, DAOS).
• Familiarity with Docker and Kubernetes in production environments.
• CI/CD and QA practices for distributed systems.

Responsibilities

• Design and build a vendor-agnostic control plane for storage across multiple platforms.
• Define an internal abstraction layer to hide vendor APIs behind a declarative interface.
• Develop Kubernetes controllers, operators, and CRDs for capacity, tenancy, and placement management.
• Own multi-tenant isolation, including QoS, credentials, and blast-radius containment.
• Design capacity and placement with PCIe topology, NUMA, and failure-domain awareness.
• Instrument observability with SLI/SLO definitions and a fleet-wide regression pipeline.

Skills

C/C++

Go

Python

Distributed systems

Linux kernel

Education

CS degree

Master's degree

Tools

Docker

Kubernetes

Ceph

DAOS

Job description

Lambda seeks a Senior Software Engineer to build a vendor-agnostic storage control plane powering AI workloads. You will design an abstraction layer over diverse storage protocols and implement CRD-based orchestration for scalable, multi-tenant environments.

Join a team focused on high-performance AI storage, networking, and compute, contributing to a scalable data plane across data centers with strong emphasis on reliability and performance.