Staff Engineer (LustreFS)

Location: Santa Clara Office, hybrid

Salary: $200K–$250K annually

Company

hirify.global's Engineering team develops and supports LustreFS-based distributed storage systems.

What you will do

• Design, develop, and debug LustreFS features, fixes, and enhancements across llite, MDS/MDT, OSS/OST, LDLM, and LNet.
• Investigate customer and scale-related defects, lead root-cause analysis, and implement maintainable fixes.
• Improve performance, failure handling, reliability, observability, and serviceability for large-scale Lustre deployments.
• Collaborate with QE, support, engineering, and release teams to reproduce issues, improve diagnostics, and expand coverage.
• Review designs and code, validate fixes through targeted tests, failure injection, log analysis, and performance characterization.
• Use AI-assisted tools for triage, debugging, code comprehension, documentation, and early-stage design work.

Requirements

• 10+ years of experience in systems software, distributed systems, storage, Linux kernel, or filesystem engineering.
• Strong experience with LustreFS development, support, or performance engineering, including depth in at least one major subsystem.
• Strong C programming and Linux systems debugging skills.
• Working knowledge of Linux kernel internals, filesystem semantics, networking, and performance analysis.
• Experience with LNet or high-performance transports such as RDMA, InfiniBand, RoCE, or TCP-based storage networking.
• Ability to debug issues spanning client, server, network, and backend storage layers.

Nice to have

• Experience in HPC, AI infrastructure, or large-scale parallel storage environments.
• Familiarity with ZFS, ldiskfs, NVMe-backed storage, and observability or performance tooling.
• Experience creating test plans, reproducer frameworks, runbooks, or diagnostic automation.
• Experience mentoring junior engineers or leading focused technical efforts within a subsystem.

Culture & Benefits

• Hands-on collaboration across engineering, QE, support, and release functions.
• Emphasis on documentation, code review quality, subsystem knowledge sharing, and engineering redundancy.
• Focus on durable LustreFS ownership, operational readiness, and AI-enabled engineering execution.