{"id":4029420,"url":"https://alion.io/job/tech-mahindra-production-engineer-hpc-reliability-automation","title":"Production Engineer - HPC Reliability & Automation","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":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-11T05:49:22Z"}},"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":"explicit","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"Karpenter","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Ansible","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Helm","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenShift","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-11-10T18:03:38Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T04:16:55Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\n\nSkill Set :\nPython,Kubernetes,Terraform,Karpenter\n\nTotal Experience :\n5.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n03/11/2026\n\nJob Expiry Date :\n30/12/2026\n\nDomain :\nIT\n\nLocation :\nSAN JOSE [United States]\n\nJob Reference No :\n4116321\n\nJob Summary\nRole: Production Engineer - AI Storage & HPC Infrastructure\nLocation: United States\nDuration: Fulltime\nClient: This requirement is with Meta through Amazon.\nWork Type: Remote-first, with occasional on-site visits to customer offices.\nTech Mahindra is seeking a highly skilled Production Engineer - HPC Reliability & Automation to support and enhance large-scale cloud and High-Performance Computing (HPC) environments powering advanced AI, analytics, and accelerated computing workloads.\nThis role focuses on reliability engineering, operational excellence, automation, observability, and performance optimization across distributed compute infrastructure. The ideal candidate will have deep expertise in Linux systems, large-scale distributed environments, troubleshooting complex production issues, and building intelligent automation solutions that improve operational efficiency and platform stability.\nSuccess in this role requires strong problem-solving capabilities, operational ownership, and the ability to quickly understand complex infrastructure ecosystems spanning compute, scheduling, storage, networking, cloud platforms, and accelerator technologies.\nKey Responsibilities\nDevelop deep technical understanding of large-scale HPC and cloud infrastructure environments, including compute clusters, workload schedulers, accelerator platforms, storage systems, networking, and authentication services.\n\nProactively identify reliability, scalability, and performance issues by correlating logs, metrics, telemetry, and events across multiple cloud and on-premises environments.\n\nTroubleshoot complex production issues across Linux systems, containers, distributed applications, schedulers, storage, networking, and compute infrastructure.\n\nDesign and build automation solutions that improve detection, diagnosis, remediation, and operational efficiency while ensuring safety, auditability, and reliability.\n\nEnhance observability, monitoring, alerting, and operational intelligence capabilities to reduce downtime and improve platform health.\n\nCollaborate with infrastructure, cloud, security, and engineering teams to implement long-term solutions and improve service resiliency.\n\nParticipate in incident management, root cause analysis, postmortems, and continuous improvement initiatives.\n\nDevelop tooling, scripts, and platform automation to minimize manual operational activities.\n\nRequired Skills & Experience\nStrong experience supporting production HPC environments, large-scale distributed compute platforms, GPU-accelerated infrastructure, or reliability-focused engineering environments.\n\nDeep Linux administration, troubleshooting, and performance engineering experience.\n\nStrong understanding of networking fundamentals, DNS, authentication, storage I/O, containers, and distributed system operations.\n\nHands-on experience with observability and monitoring platforms such as:\nPrometheus\n\nGrafana\n\nOpenTelemetry\n\nELK Stack\n\nDatadog\n\nSplunk\n\nStrong programming and automation experience using:\nPython\n\nGo (preferred)\n\nShell/Bash scripting\n\nExperience conducting complex production investigations from issue identification through root cause analysis, resolution, validation, and long-term prevention.\n\nExperience supporting highly available production platforms with operational ownership responsibilities.\n\nPreferred Qualifications\nExperience with workload orchestration and scheduling platforms such as:\nKubernetes\n\nSlurm\n\nOpenShift\n\nSimilar cluster management solutions\n\nExperience supporting AI, machine learning, data science, or GPU-intensive computing environments.\n\nUnderstanding of distributed training infrastructure, checkpoint management, job scheduling, workload placement, and compute cluster operations.\n\nExperience working with cloud platforms such as:\nAWS\n\nMicrosoft Azure\n\nGoogle Cloud Platform (GCP)\n\nSimilar large-scale cloud providers\n\nExperience with enterprise-scale storage technologies, including:\nNFS\n\nPOSIX-compliant storage\n\nLustre\n\nObject Storage\n\nHigh-performance storage systems\n\nExperience with Infrastructure as Code and platform automation tools:\nTerraform\n\nHelm\n\nKubernetes Operators\n\nAnsible\n\nExperience designing and validating resilient infrastructure through testing, fault simulation, workload replay, and controlled recovery procedures.\n\nExposure to AI-assisted operations, intelligent automation, or autonomous remediation workflows is beneficial.\n\nThe pay range for this role is USD $140,000- $160,000 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.\nAI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.\n“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. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .”","description_format":"text","description_chars":6024,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-10T18:03:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 786 · green card filings: 5","filings_12m":786,"filings_prev_12m":1324,"green_card_filings_12m":5,"median_offered_wage_usd":112386,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":293}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":9,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":true},"html_url":"https://alion.io/job/tech-mahindra-production-engineer-hpc-reliability-automation","json_url":"https://alion.io/job/tech-mahindra-production-engineer-hpc-reliability-automation.json","meta":{"generated_at":"2026-11-11T06:15:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8815,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-production-engineer-hpc-reliability-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftech-mahindra-production-engineer-hpc-reliability-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftech-mahindra-production-engineer-hpc-reliability-automation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tech-mahindra-production-engineer-hpc-reliability-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-production-engineer-hpc-reliability-automation"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4029420}},{"tool":"search_jobs","arguments":{"company":"techmahindra.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4029420},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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