Site Reliability Engineer, Cloud

Santa Clara, CA (Unknown)

$116K/yr – $219K/yrMid Level3+ years expFull time

Posted 2 weeks ago

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Job Summary

Own the live-site ops for AI/ML in a marketing tech stack, focusing on fast incident triage, automation of tasks, and scalable edge delivery.

  • Ops & Automation: 100% automation of daily tasks and ML CI/CD pipelines with monitoring, alerts, and drift/inference latency tracking.
  • Platform Onboarding & Reliability: On-board apps and model endpoints on AWS, maintain health across Linux/Windows, and provide on-call incident support.
  • Edge & SEO Delivery: Manage Akamai redirects, forward rewrites, and Cloudlet policy deployment to keep campaigns fast and SEO-friendly.

Job Description

Own technical operations and platform health for AI/ML workloads in a live, marketing-focused ecosystem.

  • Marketing Ops: Quickly identify and categorize user-reported problems within the Digital Marketing Organization ecosystem.
  • Growth Infrastructure: On-board new applications, AI/ML services, and model endpoints on AWS Infrastructure.
  • Marketing Ops: Contribute to health, performance, and uptime of services running on Linux and Windows.
  • Marketing Ops: Implement monitors, alerts, and SOPs to detect issues early, track model drift and latency, and speed responses.
  • Marketing Ops: Automate daily tasks and ML CI/CD deployment pipelines to achieve 100% automation.
  • Sales Alignment: Provide on-call support for production-grade applications, prioritizing incidents and driving resolution across pipelines, Akamai CDN, WAF, and cloud infrastructure.
  • Growth Infrastructure: Build and implement large-scale dynamic URL redirects using Akamai Edge Redirector Cloudlets for campaigns and migrations.
  • Growth Infrastructure: Set up Akamai Forward Rewrite Cloudlets to redirect requests to SEO-friendly URLs.
  • Cloud & Policy: Develop, test, and deploy shared and non-shared Cloudlet Policies via Akamai Cloudlets Policy Manager.
  • Performance Analytics: Maintain custom match criteria (Geo, Device Characteristics, RegEx, Query Strings) for efficient origin offload and smart content delivery.

The on-call, automation, and platform engineering focus works with AI model serving stacks, cloud-native tooling, and CDN architectures to keep marketing systems resilient and scalable.

NVIDIA logo

NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Founded in 1993
Santa Clara, CA, US
42K employees (3,021 in marketing)

Traffic Signals

Monthly Visitors
36.4M
Monthly Google Ads Budget
$263K
Traffic Source Mix
Search
46%
Direct
47.1%
Referral
5.7%
Social
0.9%
Paid
0.3%

Headcount Trend

Current headcount: ~46.1K

Marketing Team

Marketing Team Size
1,185 (3% of company)
Median Career Experience
20 years
Median Tenure
6.7 years
Marketing Roles Posted (Last 30 Days)
20

Funding

Total Funding
$4.1B
Last Raise
$5M
Grant, 3 years ago

Funding History

  • May 2023
    Grant • $5M
  • Aug 2022
    Post IPO Equity • $65M
  • Feb 2021
    Post IPO Equity

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