{"id":4142457,"url":"https://alion.io/job/nvidia-senior-software-engineer-infrastructure","title":"Senior Software Engineer - Infrastructure","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":811,"ghost_share":0.026,"stale_share":0.583,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cassandra","optional":false},{"name":"Chef","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kibana","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"Prometheus","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Splunk","optional":false}],"status":"live","first_seen_at":"2026-11-12T05:45:50Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T05:45:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA is advancing AI and accelerated computing to tackle complex challenges across industries. Our Infrastructure organization creates the platforms that empower NVIDIA’s engineering teams worldwide. We are searching for an experienced, passionate full-stack engineer to develop, build, and manage highly scalable distributed services. These services run on thousands of servers and handle millions of automated jobs daily, directly boosting the efficiency of thousands of NVIDIA software engineers.\nWhat you’ll be doing:\nDevelop, create, and manage scalable, highly available cloud services that schedule and run jobs across thousands of systems.\nDevelop services, APIs, and automation tools for engineering workflows.\nLead the process to develop reviews and promote incremental, low-risk rollouts of major infrastructure features.\nBuild and improve CI/CD pipelines for builds, testing, and deployment.\nDeploy and handle containerized services on Docker and Kubernetes, and automate routine operational tasks.\nImprove monitoring, logging, dashboards, and alerting to detect service health issues early, cut alert noise, and speed up troubleshooting.\nDetect and fix issues by examining logs and metrics to improve system reliability.\nMentor junior engineers and collaborate with teams across time zones.\nWhat we need to 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through phased production deployment.\nAbility to break complex problems into simple parts and reuse existing solutions.\nSRE approach: examining logs and metrics to investigate failures, set SLOs, and boost reliability.\nExperience building systems that perform reliably with limited operational intervention.","description_format":"text","description_chars":2619,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-12T05:45:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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