Senior Site Reliability Engineer, Cloud

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 15 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $180k

$132k $235k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,875–$215,687.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Site Reliability Engineer, Cloud

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The Senior Site Reliability Engineer - Cloud joins the Digital Marketing Organization to ensure the reliability, speed, and efficiency of Digital Marketing Services. This role involves building and deploying large-scale dynamic URL redirects using Akamai Edge Redirector Cloudlets, configuring Forward Rewrite Cloudlets for SEO-friendly paths, and maintaining custom match criteria for intelligent content delivery. The engineer will onboard new applications, AI/ML services, and model endpoints on AWS Infrastructure while implementing monitors, alerts, and SOPs to track model drift and inference latency. Key responsibilities include providing on-call support, incident management, and automating operational steps using Python. Required technical skills include experience with Kubernetes, CDN automation, WAF, and cloud-native infrastructure to solve production-grade issues and optimize the Digital Marketing Organization ecosystem.

What does a Site Reliability Engineer earn in California?

Median $202800 from 62 postings across 16 companies.

See salary data

Skills

Akamai AWS Kubernetes Python SRE CDN WAF Edge Computing Vector Databases LLM RegEx

What you'll do

Build and deploy large-scale dynamic URL redirects using Akamai Edge Redirector Cloudlets for promotions and migrations.
Configure Akamai Forward Rewrite Cloudlets to map inbound requests to SEO-friendly paths.
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 for content delivery.
Provide on-call support for production applications across deployment pipelines, Akamai CDN, WAF, and cloud infrastructure.
Onboard new applications, AI/ML services, and model endpoints onto AWS Infrastructure.
Implement monitors, alerts, and SOPs to detect service-impacting issues like model drift and inference latency.
Automate operational steps using Python to create "one-click" rapid solutions for system management.

What we're looking for

MS or BS in Computer Science, Engineering, or a related field, or equivalent experience.
8+ years of experience supporting technical operations in a live-site production environment.
Strong knowledge of the Kubernetes Platform, deployments, and cloud-native automation.
Advanced level experience with Python scripting to automate operational steps.
Experience providing SRE on-call support for production-grade applications.
Proficiency in managing Akamai CDN, WAF, and AWS Cloud Platform infrastructure.
Experience deploying and scaling Generative AI/LLM applications or managing GPU-accelerated infrastructure.
Excellent communication skills to explain complex infrastructure and AI concepts to diverse audiences.

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