Senior System Software Engineer for Cloud – GeForce NOW Platform
About The Position
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! We are looking for a Senior System Software Engineer for Cloud who sees the big picture of Cloud Computing and is deeply technical, creative, and hands-on. You will design, build, and deploy highly scalable cloud-based solutions for GeForce NOW. You will require a deep understanding of programming languages, distributed systems, multi-threading, and most importantly, cloud services. Your work will craft scalable and efficient cloud services to drive Visual Computing, Deep Learning, and Artificial Intelligence.
Requirements
- BS or MS in Computer Science or equivalent experience with 12+ years delivering SaaS/PaaS focusing on software development and Kubernetes infrastructure automation.
- Extensive experience with Golang and C++ (Python and Java valued) and developing/scaling backend services and microservices.
- Experience with container orchestration (Kubernetes, EKS, GKE, AKS), containers (Docker, containerd), and Infrastructure as Code (Terraform, Pulumi, Helm, Kustomize).
- Deep knowledge of cloud infrastructure, distributed system design, and Kubernetes-native patterns.
- Proven experience in developing and scaling RESTful , gRPC, MCP APIs and backend services.
- Strong self-initiative, interpersonal skills, adaptability, and experience writing testable, maintainable, performant codebases with focus on observability and collaboration skills across teams and time zones.
Nice To Haves
- Experience using the latest AI tools like Codex and Claude Code.
- Experience analyzing observability data to identify bottlenecks and improvement areas.
- Experience with cloud-scale analytics and data-driven optimization of infrastructure and services.
- Proven ability to operate effectively in ambiguous or fast-changing environments, breaking down uncertainty into clear technical direction and actionable execution plans.
- Strong bias for action/iteration: able to prototype, validate, learn from feedback, and refine solutions quickly while maintaining engineering quality and operational rigor.
Responsibilities
- Design, build, and scale distributed cloud-based systems for a high-performance SaaS/PaaS platform.
- Collaborate cross-functionally to drive new features, optimize existing systems, and enhance overall platform reliability.
- Influence the technology stack, architecture, and development methodology.
- Drive automation, monitoring, and performance tuning.
- Mentor team members and drive best practices in Kubernetes, observability, and infrastructure automation.
Benefits
- competitive salaries
- generous benefits package
- equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
