{"id":103261,"url":"https://alion.io/job/nvidia-senior-systems-software-engineer-developer-productivity-and-cloud-automation-geforce-now-2","title":"Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW","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":80,"open_postings":792,"ghost_share":0.025,"stale_share":0.712,"repost_share":0.042,"time_to_fill_p50_days":33,"computed_at":"2026-10-21T05:46:15Z"}},"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":{"min_usd":22000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"FluxCD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"Helm","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SOC 2","optional":false},{"name":"Terraform","optional":false},{"name":"Vault","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-22T03:31:47Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"GeForce NOW is NVIDIA's Cloud Gaming service, streaming games at the highest quality to any and every user, regardless of their device type and capabilities - low-end PCs, Macs, TV or mobile devices. Using the most sophisticated GPUs and NVIDIA proprietary software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch - just click and play! For more details, seehttp://www.geforce.com/geforce-now.\nOur mission empowers every GeForce NOW engineer to deliver confidently by removing obstacles, catching issues early, and turning deployments into a strength rather than a liability. We handle pipelines using GitLab’s CI platform and Jenkins, along with Flux CD and Argo CD rollouts, StackStorm event-driven automation, HashiCorp Vault for credential storage, and automation across multi-cloud environments. This is the Kubernetes-native deployment platform paired with its automation system and the backend services and APIs that support it. We deliver zero-downtime global rollouts with automatic drift detection. Our reliable staging environments replicate production accurately. We provide cloud automation for bare-metal and multi-cloud environments. If a GFN service ships, runs, or self-heals, you build the infrastructure behind it.\nWhat You'll Be Doing:\nBuild and develop backend microservices and REST/gRPC/MCP APIs that power the deployment platform, zone reservation/lease system, and developer self-service tooling\n\nExtend the platform with dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping\n\nBuild and stabilize prod-like staging environments/zones so teams catch regressions early\n\nDevelop and sustain GitOps pipelines (Flux CD, Argo CD) across on-premises and Nvidia GFN Cloud/AWS/Azure/GCP\n\nDevelop Kubernetes CRDs and operators in Go for scheduling, auto-scaling, and compliance across data centers\n\nBuild backend integrations and control-plane services connecting CI/CD, observability, and automation systems into a unified platform experience\n\nAutomate dedicated hardware and multiple cloud platform configurations using Terraform, Ansible, and Vault\n\nImplement monitoring solutions including Prometheus, Grafana, Datadog, and ELK, paired with SLO/alerting for early detection\n\nIntegrate automation tools - runbooks, StackStorm bots, anomaly-triggered remediation, and Slack self-service release bots\n\nWhat We Need to See:\nBS or MS in Computer Science or equivalent experience with 12+ years of experience in Cloud Infrastructure and DevOps, with deep expertise in Kubernetes, GitOps (or equivalent), and production-grade cloud-native CI/CD pipelines\n\nExpert Kubernetes: CRDs, operators, multi-cluster management, and security hardening (CIS, PCI/SOC 2)\n\nProficiency in Flux CD or Argo CD, GitLab CI, and Jenkins; Go or Python for control plane development\n\nExperience handling Vault, Terraform, Ansible, and Helm in both on-premises and cloud environments\n\nExperience in developing and scaling RESTful, gRPC, MCP APIs and backend services.\n\nExperience running hybrid multi-cloud and bare-metal at production scale, and owning a platform roadmap end-to-end.\n\nWays to Stand Out from the Crowd:\nBackstage or similar internal developer portals for self-service tooling\n\nComprehensive expertise covering backend services as well as platform and infrastructure engineering\n\nDaily use of AI-assisted tools (Claude Code, GitHub Copilot, Cursor) - we use these daily\n\nHybrid infrastructure spanning on-premises GPU clusters and public cloud\n\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. 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