Senior Storage Engineer - Ceph

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work-from-home day is currently Tuesday.

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.

Most people are aware that the AI revolution is driven by data. What most people don’t know is that this data is hosted on large, high-performance storage arrays measured in petabytes. At Lambda, the Infrastructure Storage Team’s job is to ensure that the data powering AI is fast, performant, and available.

The Storage team is a multidisciplinary group of Storage Engineers, Software Engineers, and SREs. This close-knit team is motivated by a shared passion for delivering top-tier storage solutions to our customers. As both a product and operations team, we collaborate closely to accelerate development, deployment, and, most importantly, build resilient storage offerings.

We are looking for a Ceph subject matter expert to support our latest Storage initiative. Starting with Object Storage, Ceph will form the backbone of our next-generation, differentiated storage solutions. The ideal candidate will train current Storage Engineers, advise on key Ceph decisions, and drive strategic Ceph initiatives.

What You’ll Do:

• Design, deploy, and maintain highly available 40PB+ Ceph clusters

• Perform cluster upgrades, expansions, and performance optimizations

• Configure and optimize RBD, CephFS, and RadosGW services

• Monitor cluster health, performance metrics, and capacity utilization

• Develop capacity planning models and growth projections

• Train others on Ceph

You Have:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience

• 5+ years of experience in storage engineering or distributed systems

• 5+ years of hands-on experience with Ceph administration and troubleshooting

• Strong understanding of storage protocols (NFS, iSCSI, S3, Swift)

• Proficiency with Linux system administration and storage subsystems

• Experience with storage hardware (SSDs, HDDs, NVMe) and networking technologies

• Knowledge of monitoring tools (Prometheus, Grafana, Nagios) and log analysis

• Understanding of data protection concepts, backup strategies, and disaster recovery

Nice to Have

• Ceph Certified Professional or equivalent certification

• Experience with other distributed storage systems (GlusterFS, HDFS, MinIO)

• Experience with public cloud storage services (AWS S3, Azure Blob, GCP)

• Familiarity with storage benchmarking tools (fio, rados bench, COSBench)

• Experience with programming in Go is strongly preferred.

• Experience with configuration management tools (Ansible, Puppet, Chef)

• Understanding of network protocols and storage networking (RDMA, iSER)

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $380,000-$460,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

• Founded in 2012, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability

• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

• 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 that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.