{"id":606778,"url":"https://alion.io/job/ddn-senior-staff-storage-engineer","title":"Senior Staff Storage Engineer","company":{"id":672909,"name":"DDN","domain":"ddn.com","url":"https://alion.io/company/ddn","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":97,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":42,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":165000,"max_usd":319000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":540},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"HPC","optional":true},{"name":"Self-Healing","optional":true}],"status":"live","first_seen_at":"2026-08-04T20:25:28Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-17T16:55:37Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"Role Overview\nWe are seeking a Senior Staff Storage Backend Engineer to design and optimize the next generation of high-performance distributed storage systems. This role focuses on building the core I/O path, improving scalability, reliability, and software quality across large-scale storage clusters.\nThe ideal candidate has deep expertise in C/C++, distributed systems, storage architecture, and performance optimization, with a proven track record of building highly available, low-latency infrastructure.\nKey Responsibilities\nStorage Architecture & Development\nDesign, develop, and optimize high-performance storage I/O paths for extreme throughput, low latency, and high concurrency.\n\nBuild and improve distributed storage components, including erasure coding, data protection, recovery, and data layout algorithms.\n\nDevelop scalable concurrency models, locking mechanisms, and fault-tolerant designs.\n\nPerformance & Scalability\nAnalyze and optimize storage performance across CPU, memory, caching, scheduling, and data movement paths.\n\nDrive profiling, benchmarking, and performance tuning across multi-node, multi-device environments.\n\nDesign asynchronous, event-driven architectures supporting AI workloads, high-speed data pipelines, and real-time analytics.\n\nTechnical Leadership\nServe as a technical leader for the IO Path team, driving architecture decisions, design reviews, code reviews, and complex debugging efforts.\n\nPartner with engineering leadership to define technical strategy, evaluate new technologies, and influence the product roadmap.\n\nMentor engineers and promote engineering excellence through strong engineering practices and rigorous technical reviews.\n\nQuality & Cross-Functional Collaboration\nCollaborate with QE, storage, networking, performance, field, and support teams to deliver reliable enterprise-class software.\n\nPartner with QE to identify quality gaps, improve validation strategies, and ensure robust coverage of complex distributed storage scenarios.\n\nDebug complex customer and system issues and translate learnings into product improvements.\n\nInfluence CI/CD pipelines, automation frameworks, and release processes to enable scalable and reliable software delivery.\n\nRequired Qualifications\n15+ years of experience developing large-scale systems software using C/C++.\n\n10+ years of hands-on experience designing and developing storage systems, distributed storage platforms, or high-performance I/O subsystems.\n\nDeep understanding of storage architecture, I/O optimization, memory management, caching, scheduling, and data path design.\n\nExperience with distributed storage concepts, including erasure coding, replication, recovery, and fault tolerance.\n\nHands-on experience with SPDK or similar high-performance user-space storage frameworks.\n\nStrong knowledge of concurrency, synchronization, and distributed systems design.\n\nExpertise in performance analysis, profiling, debugging, and system optimization.\n\nPreferred Qualifications\nExperience with high-performance computing (HPC), AI infrastructure, or large-scale storage platforms.\n\nExperience with distributed file systems, object storage, or hybrid storage architectures.\n\nKnowledge of NVMe-oF, RDMA, and high-speed networking technologies.\n\nExperience building observability, monitoring, and self-healing infrastructure.\n\nFamiliarity with containerized workloads and cluster orchestration.","description_format":"text","description_chars":3397,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Servers & Data Center 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