# Senior Systems Software Engineer, Developer Productivity and Cloud Automation - GeForce NOW

## Details

- **Company:** [NVIDIA](https://hitmarker.net/companies/nvidia.md)
- **Location:** Pune, Maharashtra, India
- **Contract type:** Full Time
- **Level:** Senior \(5+ years\)
- **Tags:** Cloud Engineering, Software Engineering, Backend Development, Systems Design
- **Posted:** 2026-07-29
- **Apply:** [View and apply on Hitmarker](https://hitmarker.net/jobs/nvidia-senior-systems-software-engineer-developer-productivity-and-cloud-automation-geforce-now-3459894)

## 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, see[ http://www.geforce.com/geforce-now](http://www.geforce.com/geforce-now) .

Our 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.

****What You'll Be Doing:****

- Build and develop backend microservices and REST/gRPC/MCP APIs that power the deployment platform, zone reservation/lease system, and developer self-service tooling
- Extend the platform with dynamic delivery, automatic rollback, drift detection, and automated zone bootstrapping
- Build and stabilize prod-like staging environments/zones so teams catch regressions early
- Develop and sustain GitOps pipelines (Flux CD, Argo CD) across on-premises and Nvidia GFN Cloud/AWS/Azure/GCP
- Develop Kubernetes CRDs and operators in Go for scheduling, auto-scaling, and compliance across data centers
- Build backend integrations and control-plane services connecting CI/CD, observability, and automation systems into a unified platform experience
- Automate dedicated hardware and multiple cloud platform configurations using Terraform, Ansible, and Vault
- Implement monitoring solutions including Prometheus, Grafana, Datadog, and ELK, paired with SLO/alerting for early detection
- Integrate automation tools — runbooks, StackStorm bots, anomaly-triggered remediation, and Slack self-service release bots

****What We Need to See:****

- BS 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
- Expert Kubernetes: CRDs, operators, multi-cluster management, and security hardening (CIS, PCI/SOC 2)
- Proficiency in Flux CD or Argo CD, GitLab CI, and Jenkins; Go or Python for control plane development
- Experience handling Vault, Terraform, Ansible, and Helm in both on-premises and cloud environments
- Experience in developing and scaling RESTful, gRPC, MCP APIs and backend services.
- Experience running hybrid multi-cloud and bare-metal at production scale, and owning a platform roadmap end-to-end.

****Ways to Stand Out from the Crowd:****

- Backstage or similar internal developer portals for self-service tooling
- Comprehensive expertise covering backend services as well as platform and infrastructure engineering
- Daily use of AI-assisted tools (Claude Code, GitHub Copilot, Cursor) — we use these daily
- Hybrid infrastructure spanning on-premises GPU clusters and public cloud

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us.