Senior Site Reliability Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development