Senior Software Engineer - Storage Control Plane

The role

You will develop and implement next-generation storage software. You will build a scalable and resilient storage control plane to power AI and machine learning infrastructure.

What you will do

• Design and build a vendor-agnostic control plane to provision, scale, heal, and meter storage.
• Define the internal abstraction layer to hide vendor-specific APIs and telemetry formats.
• Build reconciliation-loop and CRD-based orchestration using Kubernetes controllers, operators, and custom schedulers.
• Own multi-tenant isolation including namespace partitioning, per-tenant QoS, and credential lifecycle.
• Design the capacity and placement engine.
• Instrument SLI/SLO definitions, performance regression detection, and the observability pipeline.

Required qualifications

• Bachelor's or Master's degree in Computer Science or a 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.

Nice to have

• Experience with AI/ML workloads and the unique storage challenges they present.
• Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE).
• Experience with performance tuning and optimization of storage systems.
• Familiarity with hardware acceleration technologies, specifically GPUs and DPUs.
• Production experience with VAST Data, WEKA, DDN, Pure, NetApp, or IBM Storage Scale.
• Ceph at 100 PB+ in HPC or AI environments.
• CXL memory pooling, computational storage, ZNS SSDs, EDSFF.
• Published or presented at SNIA SDC, FAST, USENIX ATC, LSFMM+BPF, OCP, SC, or similar.

Benefits

• Generous cash & equity compensation
• Health, dental, and vision coverage for you and your dependents
• Wellness and commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible paid time off plan

About the company

Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers. Founded in 2012, the company has 500+ employees and is growing fast.