> Markdown version of [/jobs/ext/4565850-senior-software-engineer-infrastructure-storage](https://www.wearedevelopers.com/jobs/ext/4565850-senior-software-engineer-infrastructure-storage). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Engineer - Infrastructure Storage

- **Company:** Lambda Labs
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $296,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, C++ (Programming Language), Computer Programming, Continuous Integration, Software Debugging, Distributed Systems, Fault Tolerance, InfiniBand, Internet Small Computer System Interface (ISCSI), Linux Kernel, Operational Databases, Software Engineering, Graphics Processing Unit (GPU), Load Balancing, Fibre Channel, Data Center Networking, Containerization, Storage Technologies, Information Technology, Hardware Acceleration, Machine Learning Operations, Docker, Nvme
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_02F3E4337859AF0232517B85DE2EC86F

## About the Role

At Lambda, the Infrastructure Storage Team's job is to ensure that the data powering AI is fast, performant, and available across a variety of access protocols (fit for purpose).We're looking for an experienced Senior Software Engineer to join our storage team.
You'll join a team responsible for developing and implementing storage software for our next-generation on-premise storage solutions.
This role requires expertise in distributed systems, and an in-depth understanding of file, block, and object storage protocols.
You'll work on building scalable and resilient storage services that power our AI and machine learning infrastructure.What You'll Do:Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.Troubleshoot and debug complex issues in a production data center environment.Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.You Have: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.Deep understanding of storage protocols, including:File: NFS, SMB, LustreBlock: iSCSI, Fibre ChannelObject: S3, SwiftExperience with Linux kernel internals and system-level programming.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 HaveExperience 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