Senior Site Reliability Engineer - Cloud NVIDIA · US, CA, Santa Clara · Site Reliability –6d ago

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great 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.

Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you ready to be part of something outstanding? NVIDIA's Digital Marketing Organization seeks a senior Site Reliability Engineer (SRE) to join our Santa Clara, CA team. As an SRE at NVIDIA, you will have a meaningful role in keeping our Digital Marketing Services reliable, fast, and efficient. You'll use innovative technology and work alongside skilled professionals who continuously explore new possibilities.

• Build and deploy large-scale dynamic URL redirects using Akamai Edge Redirector Cloudlets for promotional efforts and site migrations.
• Configure Akamai Forward Rewrite Cloudlets to map inbound requests to SEO-friendly paths.
• Provide on-call support for production-grade applications, responding to incidents, prioritizing issues, and driving resolution across deployment pipelines, Akamai CDN, WAF, and cloud infrastructure.
• Author, test, and activate shared and non-shared Cloudlet Policies via the Akamai Cloudlets Policy Manager.
• Maintain custom match criteria — including Geo, Device Characteristics, Reg Ex, and Query Strings — to ensure efficient origin offload and intelligent content delivery.
• Quickly identify and address user-reported problems throughout the Digital Marketing Organization ecosystem.
• On-board new applications, AI/ML services, and model endpoints on AWS Infrastructure.
• Implement monitors, alerts, and SOPs to ensure early detection and accurate response to service-impacting issues, including tracking model drift and inference latency.

• MS or BS in Computer Science/Engineering or a related field, or equivalent experience.
• 8+ years’ experience supporting technical operations in a live-site production environment with a real passion for CDN automation, tooling, and infrastructure supporting AI applications.
• Strong knowledge of the Kubernetes Platform, deployments, and cloud-native automation.
• Proven strengths in problem-solving and root-causing issues, while continuously seeking ways to drive optimization, efficiency, and the bottom line.
• Advanced level experience with scripting and development in Python, fully automating operational steps with “one-click” rapid solutions.
• Key participation in the incident management process for early recognition of all service-impacting issues, accurate triage, partner communication, impact containment, service restoration, and post-incident follow-up. SRE On call experience is a must.

• Strong Akamai CDN Support skills and deep understanding of edge computing/edge AI.
• Solid experience with the AWS Cloud Platform and Kubernetes as a platform. SRE on-call experience.
• Hands-on experience deploying and scaling Generative AI/LLM applications, integrating vector databases, or managing GPU-accelerated infrastructure.
• Excellent communication, presentation, and analytical skills; the ability to communicate sophisticated infrastructure and AI concepts clearly across different audiences and varying levels of the organization.

Widely considered to be one of the technology world’s most desirable employers,…