Senior SRE: AI/ML Infra, Edge CDN, Kubernetes

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 270,000

Full time

5 days ago

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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.