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We are now looking for a Sr. Site Reliability Engineer (SRE)! NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by outstanding technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. NVIDIA is at the forefront of generative AI models, from language to images. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIA N, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.
NVIDIA is looking for a Senior Site Reliability Engineer (SRE) to join its cloud service team for supporting, triaging, and building Geforcenow cloud gaming platform.As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. We live SRE practices that are key to product quality, such as limiting time spent on reactive operational work, blameless postmortems, proactive identification of potential outages, and iterative improvements, which all make for interesting and dynamic day-to-day work. The person in this position will be responsible for Service Response and workflow and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive the reliability of the service. Continuously evaluate operational processes, identify opportunities for improvement, and build custom tools, automation, and self-service solutions that improve the overall reliability and operational efficiency of GeForce NOW.
What You Will Be Doing
Monitor, support, and maintain the reliability, availability, and performance of large-scale GeForce NOW production services running across cloud and datacenter environments.
Participate in production incident triage, troubleshooting, and resolution of complex infrastructure and application issues. Take part in the team's on-call rotation, including occasional weekend coverage, to ensure timely restoration of customer-facing services.
Monitor service health using metrics, logs, traces, and dashboards, and proactively identify reliability, performance, and capacity issues before they impact customers.
Collaborate with software engineering, platform, networking, and infrastructure teams to improve operational readiness, reliability, and service resilience.
Drive observability initiatives by improving monitoring, alerting, dashboards, and telemetry to enable faster detection and diagnosis of production issues.
Scale services sustainably by building automation, eliminating operational toil, and continuously improving deployment, recovery, and operational workflows.
Lead and participate in incident response, root cause analysis, and blameless postmortems, driving corrective and preventive actions to improve long-term service reliability.
Design and develop custom tools, automation, and self-service solutions that simplify operations, improve engineer productivity, and enhance the overall GeForce NOW platform.
Continuously evaluate existing operational processes and identify opportunities to improve service reliability, operational efficiency, and customer experience through engineering-driven solutions.
Contribute to the design, deployment, and operation of Kubernetes-based services, ensuring they meet scalability, reliability, and performance requirements.
What we need to see:
BS degree in Computer Science, Computer Engineering, Information Technology, or a related technical field (or equivalent experience).
5+ years of experience supporting and operating mission-critical production services in a live-site environment as a Site Reliability Engineer (SRE), Production Engineer, or similar role.
Strong understanding of containerization, microservices architecture, and Kubernetes, including Kubernetes ecosystem components and operational best practices.
Demonstrated ability to troubleshoot complex production issues, identify root causes, and drive issues to resolution.
Strong understanding of distributed systems and how complex production environments interact across applications, infrastructure, networking, and cloud services.
Experience supporting production operations, including incident management, change management, postmortem reviews, and operational excellence initiatives.
Hands-on experience developing automation using Python, Go, Bash, or similar scripting/programming languages.
Strong understanding of SLOs, SLIs, error budgets, KPIs, and service reliability best practices.
Experience with observability platforms such as Prometheus, Grafana, ELK/OpenSearch, and modern monitoring and alerting solutions.
Experience operating services in public cloud environments such as AWS, Azure, GCP, or equivalent cloud platforms.
Ways to stand out from the crowd:
Experience supporting large-scale customer-facing cloud or gaming services.
Strong Kubernetes operational and troubleshooting expertise.
Experience with observability platforms, including Prometheus, Grafana, ELK/OpenSearch, and OpenTelemetry.
Strong scripting or programming skills in Python, Go, or similar languages with a focus on automation.
Experience driving production incident response, postmortems, and operational excellence initiatives.
NVIDIA is widely considered to be 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. If you're creative and autonomous, we want to hear from you.
