{"id":3832016,"url":"https://alion.io/job/tech-mahindra-production-engineer-ai-storage-hpc","title":"Production Engineer AI Storage / HPC","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-10T06:52:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Amazon S3","optional":true},{"name":"Helm","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T19:43:29Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-10T23:27:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\n\nSkill Set :\nHPC,AI storage\n\nTotal Experience :\n9.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n15/10/2026\n\nJob Expiry Date :\n31/12/2026\n\nDomain :\nIT\n\nLocation :\nSAN JOSE [United States]\n\nJob Reference No :\n4113072\n\nJob Summary\n\nTitle:Production Engineer - AI Storage / HPC\nLocation: Remote,United States \nWe are looking for a hands-on Production Engineer specializing in distributed storage and HPC/AI infrastructure. The role will focus on building, operating, and optimizing high-performance file and object storage supporting large-scale AI training environments.\nKey Responsibilities\nBuild and operate distributed file and object storage for AI/HPC workloads.\nOptimize storage performance across throughput, latency, metadata, caching, and networking.\nAutomate provisioning, scaling, upgrades, and recovery using Kubernetes and Infrastructure-as-Code.\nSupport large-scale data migration across clusters, regions, and cloud environments.\nOwn storage reliability, monitoring, performance testing, incident response, and production troubleshooting.\nPartner with engineering, research, security, and storage-provider teams.\nMust-Have Skills\nStrong hands-on experience with distributed storage, high-performance filesystems, or large-scale data infrastructure.\nExcellent Linux administration and production troubleshooting skills.\nStrong understanding of filesystem, networking, concurrency, and storage performance.\nProgramming/automation experience in Python, Go, C++, or Rust.\nProven experience owning storage performance or reliability improvements end to end.\nPreferred Skills\nNFS, POSIX, Lustre, ZFS/OpenZFS, Hammerspace, VAST, or Pure Storage\nHPC storage / AI training I/O / checkpointing\nKubernetes and cloud infrastructure\nTerraform, Helm, Kubernetes Operators\nS3/Object Storage\nObservability, benchmarking, metrics, and tracing\nCross-region/cloud data movement and storage tiering\nThe pay range for this role is $200,000 - $250,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. 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