{"id":1674116,"url":"https://alion.io/job/ddn-staff-engineer-performance-2","title":"Staff Engineer - Performance","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":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":944},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false}],"status":"live","first_seen_at":"2026-07-15T21:32:12Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-02T22:41:35Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"We are seeking a Staff Engineer - Performance with strong expertise in data path and I/O performance for large-scale distributed file systems. This role focuses on analyzing, optimizing, and improving performance across the storage stack, from low-level code paths to system-wide behavior at scale.\nYou will work closely with architects and cross-functional teams to investigate complex performance issues, implement optimizations, and ensure high throughput and low latency in distributed systems. This role emphasizes hands-on technical contributions, performance tuning, and data-driven decision-making to improve overall system efficiency and reliability.\nKey Responsibilities:\nContribute to the performance design of data path and I/O components in distributed file systems\n\nPerform performance analysis, troubleshooting, and optimization of large-scale, high-performance file systems\n\nImplement performance-aware improvements across CPU, memory, storage, and network layers\n\nOptimize performance-critical file system code, primarily in C++\n\nApply best practices for performance measurement, profiling, benchmarking, and regression detection\n\nInvestigate and resolve complex system-level performance issues\n\nCollaborate with architects and senior engineers to incorporate performance considerations into system design\n\nWork with cross-functional teams to validate and meet performance goals across the stack\n\nParticipate in design reviews with a focus on performance implications\n\nShare knowledge and support peers in adopting effective performance engineering practices\n\nRequirements:\nAccountable and highly motivated with solid people skills\n\n10+ years’ experience system software development and complex problem resolution.\n\nDeep understanding of distributed file systems and scale-out storage architectures\n\nExpert-level knowledge of data path and I/O path design and optimization\n\nStrong proficiency in C++ with extensive experience in performance-critical code\n\nProven expertise in performance measurement techniques, including profiling, tracing, benchmarking, and custom tooling\n\nStrong foundation in distributed systems principles, including scalability, concurrency, and fault tolerance\n\nDemonstrated experience optimizing file system or storage system code for performance at scale\n\nExperience with high-performance, high-scale-out file systems in production environments\n\nWhat Success Looks Like\nConsistently delivers measurable improvements in throughput, latency, and scalability\n\nIdentifies and mitigates performance bottlenecks early in the development lifecycle\n\nProduces reliable performance analysis that informs design and implementation decisions\n\nContributes to stable, repeatable performance testing and regression detection practices\n\nEffectively collaborates with team members to meet performance goals across components\n\nBuilds and applies strong performance engineering expertise to improve code and system quality","description_format":"text","description_chars":2946,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems","Servers & Data Center Hardware"],"lifecycle":[{"event":"open","at":"2026-10-02T07:42:22Z"}],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.804,"p_room":0.28,"age_days":79,"expected_fill_days":39,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-10-03T03:27:53Z"},"pay":null,"html_url":"https://alion.io/job/ddn-staff-engineer-performance-2","json_url":"https://alion.io/job/ddn-staff-engineer-performance-2.json","meta":{"generated_at":"2026-10-03T03:27:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3220,"day_limit":5000,"remaining_today":1780,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}