{"id":4142455,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-12","title":"Senior System Software Engineer","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":"DevOps","role_family":"DevOps","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":"Gerrit","optional":false},{"name":"GitLab","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":"System Software Engineer\nNVIDIA is advancing AI and accelerated computing to solve complex challenges across industries. Our Infrastructure organization builds the platforms that power NVIDIA’s engineering teams worldwide. We are looking for an experienced and passionate full-stack engineer to compose, build, and monitor highly scalable distributed services. These services run on thousands of servers and complete millions of automated jobs daily, directly improving the efficiency of thousands of NVIDIA software engineers.\nWhat you’ll be doing:\nDefine system architecture and guide development decisions for complex engineering workflows, balancing scalability, reliability, cost, and delivery timelines.\nLead reviews of system approaches and promote safe, incremental, low-risk rollouts of major infrastructure features across multiple teams.\nSet the strategy for CI/CD pipelines and release practices, enhancing build, test, and deployment speed and quality.\nSupport the adoption of containerised services on Docker and Kubernetes, and advocate automation to reduce operational toil.\nDefine the observability approach (monitoring, logging, alerting, SLOs) to detect issues early, reduce alert noise, and accelerate incident resolution.\nLead root-cause analysis of complex production incidents and champion long-term reliability improvements.\nMentor and grow senior and junior engineers, raise engineering standards, and work closely with teams and collaborators across time zones.\nWhat we need to see:\nBS/MS in Computer Science, Engineering, or equivalent experience, with 5+ years building and operating large-scale backend or distributed systems.\nDeep Java expertise, including concurrency, performance tuning, and debugging complex production issues.\nHistory of crafting, scaling, and managing large-scale, highly available full-stack applications in production, including leading major architectural changes or migrations.\nExperience in working with Version Control Systems like Gitlab and Gerrit\nSolid grounding in data structures, algorithms, distributed system development, and testing practices.\nHands-on experience with relational databases (e.g., MySQL) and at least one NoSQL store (e.g., Elasticsearch, MongoDB, Cassandra).\nExperience with Docker and Kubernetes, along with infrastructure automation tools such as Ansible or Chef.\nExperience with one or more monitoring and observability tools (e.g., Prometheus, Grafana, Kibana, Splunk), with a focus on actionable alerts.\nDemonstrated technical leadership: mentoring engineers, influencing roadmaps, and driving cross-team initiatives.\nStrong communication skills and the ability to collaborate across teams and time zones.\nWays to stand out from the crowd:\nExperience taking major infrastructure features from build through incremental production rollout.\nAbility to break complex problems into simple parts and reuse existing solutions.\nSRE approach: using logs and metrics to troubleshoot failures, define SLOs, and improve reliability.\nExperience designing full-stack applications that run well with minimal operational 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