Senior Site Reliability Engineer, GeForce NOW
About The Position
NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its GeForce Now (GFN) team. SRE at NVIDIA ensures that our internal and external-facing GPU cloud gaming services have reliability and uptime as promised to the users and at the same time enables developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. As SRE, you are responsible for the big picture of how our systems relate to each other; we use a breadth of tools and approaches to tackle complex problems. The person in this position will be responsible for Service Response and Workflows and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive reliability of the service.
Requirements
- MS or BS in Computer Science/Engineering or a related field or equivalent experience.
- 8+ year’s Site reliability engineering experience working on large scale distributed micro services in a production environment with a real passion for automation and tooling.
- Very strong Kubernetes background and ability to understand Kubernetes with complex and highly available VMI setup on K8's.
- Lead significant production improvements including change management, post-mortem reviews, workflow processes, design and deliver software automation in various languages.
- Confirmed strengths in problem-solving and root causing issues, while continuously seeking ways to drive optimization, efficiency and the bottom line.
- Previous experience with Datadog, Prometheus, Alertmanager, or similar monitoring systems.
- Experience managing multi-region cloud deployments on hyperscalers like AWS, GCP, or Azure.
- Experience designing and managing deployment pipelines using tools such as GitHub Actions, GitLab CI, or ArgoCD.
- Excellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organization.
- Production-grade coding proficiency in languages like Go, Python, or robust Bash scripting.
- Production on-call experience is a must. Should have served in a primary production on-call rotation, responding to and mitigating high-severity infrastructure alerts and service degradations.
Nice To Haves
- Experience working with automated anomaly detection, log clustering tools, or LLM-assisted debugging platforms.
- Comfortable using AI on a day-to-day basis as an SRE
- Prior experience as an SRE or Service Engineer is a huge plus.
Responsibilities
- Working on building tools to improve the SRE Observability.
- Be part of the Kubernetes migration journey with VMI setup and problem solving.
- Rapidly debug and triage incidents and user-reported issues
- Taking ownership of automating, scripting, and tooling of new/existing scripts to help the team achieve 100% automation of daily tasks
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management and launch reviews.
- Be part of an on call rotation to support production systems
Benefits
- competitive salary package
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
