{"id":2310240,"url":"https://alion.io/job/nvidia-senior-software-engineer-it-infrastructure","title":"Senior Software Engineer - IT 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":"A","score":87,"open_postings":411,"ghost_share":0.015,"stale_share":0.479,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-12T06:55:09Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":133},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Alertmanager","optional":false},{"name":"Amazon S3","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Kibana","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"Linux","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-12T01:06:07Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T17:20:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Automation, and AI-driven Reliability Platform.\nThis role involves developing and implement innovative architecture and software for large-scale storage and backup services, ensuring continuous availability, performance, and self-service for all key services supporting our AI/ML, Software and engineering teams. This position offers a rare chance to contribute to revenue-driving initiatives and the foundation of our engineering services.\nWhat you'll be doing:\nDevelop and manage enterprise-scale platforms that unify storage infrastructure and services, integrating enterprise appliances, networks, and open-source technologies.\nDevelop and scale REST APIs in Python/Go, enabling thousands of engineers to seamlessly run on-demand storage workflows.\nAutomate storage operations - provisioning, monitoring, metrics, telemetry, and solving - ensuring high reliability and performance.\nIntegrate intelligent observability and tracing into workflows to improve accuracy, reduce latency, and optimize efficiency across infrastructure services.\nImplement agentic workflows that empower self-healing, proactive remediation, and automation to decrease operational overhead.\nBuild proof-of-concept integrations between infrastructure services and emerging agentic AI frameworks, laying the foundation for intelligent infrastructure platforms.\nDocument practices and procedures, evaluate new technologies, and drive adoption of next-gen automation in enterprise storage services.\nWhat we need to see:\nBS in Computer Science (or equivalent experience) with 12+ years of relevant experience, MS with 10+ years, or Ph.D. with 8+ years.\nExtensive expertise building large-scale, multi-threaded, distributed backend systems.\nExperience designing and building RESTful APIs using Python or Go.\nFamiliarity with containerization & orchestration (Docker, Kubernetes).\nExposure to cloud platforms (AWS, Azure, GCP).\nExperience with telemetry stacks (Prometheus, Grafana, Alert manager, ELK/Kibana).\nAbility to collaborate across teams and communicate technical solutions effectively.\nGrowth mindset to quickly adopt new frameworks in observability, AI automation, and infrastructure management.\nWays to stand out from the crowd:\nContributions to open-source projects (infrastructure, storage, or Python-based libraries).\nStrong background in Linux storage systems and solving at enterprise scale.\nExperience with Enterprise NAS (NetApp, Pure Storage), distributed filesystems (Lustre, GPFS, Ceph), or S3-compatible object storage.\nExperience with GenAI/agentic application frameworks (LangChain, LlamaIndex, AutoGen) or observability platforms (LangSmith, Arize Phoenix, W&B Weave).\nProven track record to prototype and productionize intelligent automation workflows, especially for self-service, large-scale infrastructure.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you!\nWe are an equal opportunity employer and value diversity at our company. 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