Senior SRE: AI/ML Infra & CDN Automation, Equity

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

Benefits offered by this job

Equity

Competitive salary

Comprehensive benefits package

Job summary

NVIDIA in Santa Clara, CA seeks an experienced Site Reliability Engineer to keep Digital Marketing Services reliable, fast, and efficient. You will build large-scale redirects with Akamai, map requests to SEO paths, and support production systems across pipelines, CDN, and cloud infra.

You’ll need strong Kubernetes, AWS, Python scripting, and on-call incident management skills to drive continuous improvements and support AI workloads at scale.

Qualifications

• MS or BS in Computer Science/Engineering or related field, or equivalent experience.
• 8+ years’ experience in live-site production environments with CDN automation and AI tooling.
• Strong knowledge of Kubernetes, cloud-native automation, and incident management.
• Advanced scripting in Python with end-to-end automation.

Responsibilities

• Build and deploy large-scale URL redirects using Akamai Edge Cloudlets.
• Configure rewrite cloudlets to map inbound requests to SEO-friendly paths.
• Provide on-call support for production-grade apps and incidents.
• Author and activate Cloudlet Policies via Akamai Policy Manager.
• Maintain custom match criteria for efficient delivery and offload.
• On-board new apps, AI/ML services, and model endpoints on AWS.
• Implement monitoring, alerts, and SOPs for early detection.

Skills

Kubernetes experience

Python scripting

Incident management

Cloud automation

Education

MS or BS in Computer Science/Engineering or related field

Tools

Kubernetes

AWS Cloud Platform

Akamai CDN

Python

Job description

NVIDIA in Santa Clara, CA seeks an experienced Site Reliability Engineer to keep Digital Marketing Services reliable, fast, and efficient. You will build large-scale redirects with Akamai, map requests to SEO paths, and support production systems across pipelines, CDN, and cloud infra.

You’ll need strong Kubernetes, AWS, Python scripting, and on-call incident management skills to drive continuous improvements and support AI workloads at scale.