Senior Site Reliability Engineer - Cloud

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA's Digital Marketing Organization is hiring a senior Site Reliability Engineer in Santa Clara, CA. You will help keep our Digital Marketing Services reliable, fast, and efficient by leveraging Akamai, Kubernetes, and AWS, with on-call incident management and automation at scale.

As an NVIDIA professional, you will deploy AI-enabled services, monitor systems, and drive improvements across cloud infrastructure while maintaining high availability and performance for global campaigns.

Qualifications

• MS or BS in Computer Science/Engineering 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.
• 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.

Responsibilities

• 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, RegEx, 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.

Skills

Python scripting

Kubernetes

AWS cloud

Akamai CDN

Incident management

Education

MS or BS in Computer Science/Engineering

Tools

Kubernetes

AWS

Akamai

Python

Job description

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.

What you’ll be doing:

• 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, RegEx, 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October16, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.