Senior Site Reliability Engineer - Cloud

at Nvidia

USD 168,000-264,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

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AI @ 4 AWS @ 4 Communication @ 6 GEO GPU @ 4 GenAI Generative AI @ 4 Kubernetes @ 7 LLM @ 4 Machine Learning Marketing Python @ 7 SEO SRE @ 4 Vector Databases @ 4

Details

NVIDIA's Digital Marketing Organization is seeking a Senior Site Reliability Engineer to help keep its Digital Marketing Services reliable, fast, and efficient. The role supports production-grade applications, CDN and cloud infrastructure, and AI/ML services.

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 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 through the Akamai Cloudlets Policy Manager.
Maintain custom match criteria, including Geo, Device Characteristics, RegEx, and Query Strings, to support origin offload and intelligent content delivery.
Identify and resolve user-reported problems across the Digital Marketing Organization ecosystem.
Onboard applications, AI/ML services, and model endpoints on AWS infrastructure.
Implement monitors, alerts, and standard operating procedures for early detection and accurate response to service-impacting issues, including model drift and inference latency.
Participate in incident management, including issue recognition, triage, partner communication, impact containment, service restoration, and post-incident follow-up.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
8 or more years of experience supporting technical operations in a live-site production environment, with an interest in CDN automation, tooling, and infrastructure for AI applications.
Strong knowledge of the Kubernetes platform, deployments, and cloud-native automation.
Strong problem-solving and root-cause analysis skills, with a focus on optimization and efficiency.
Advanced scripting and development experience with Python, including full automation of operational steps.
SRE on-call experience is required.

Preferred Qualifications

Strong Akamai CDN support skills and an understanding of edge computing and edge AI.
Experience with AWS and Kubernetes as a platform.
Hands-on experience deploying and scaling generative AI or LLM applications, integrating vector databases, or managing GPU-accelerated infrastructure.
Excellent communication, presentation, and analytical skills, including the ability to explain infrastructure and AI concepts to varied audiences.

Benefits

The position offers a competitive salary, equity, and benefits package. NVIDIA is an equal opportunity employer committed to an inclusive work environment.