Site Reliability Engineer, Cloud

NVIDIA•Santa Clara, CA

4d•$116,000 - $218,500

About The Position

NVIDIA is seeking an outstanding Site Reliability Engineer (SRE) to join its Digital Marketing Organization. SREs are responsible for ensuring that all of NVIDIA’s Digital Marketing Services are reliable, fast, and efficient. This role involves leading and improving AWS Infrastructure and scripting. The SRE will be responsible for monitoring the Platform and Services, developing new monitoring and alerting tools, planning tests, updating existing infrastructure, and automating the deployment pipeline. The ideal candidate will respond quickly to urgent issues and outages, validate the deployment process, resolve problems, and communicate status to internal and external partners.

Requirements

MS or BS in Computer Science/Engineering or a related field, or equivalent experience.
3+ years experience supporting technical operations in a live-site production environment.
A real passion for automation, tooling, and infrastructure supporting AI applications.
Experience building and running critical production services or ML model serving frameworks (e.g., FastAPI, Triton, TorchServe) using Python or Java.
Strong knowledge of the Kubernetes Platform, deployments, and cloud-native automation.
Deep familiarity with MLOps frameworks and data pipelines (e.g., MLflow, Kubeflow, Airflow, or AWS SageMaker).
Make valuable contributions to the incident management process for early discovery 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.
Advanced level experience with scripting and development in Python, fully automating operational steps with “one-click” rapid solutions.
Proven strengths in problem-solving and root-causing issues, while continuously seeking ways to drive optimization, efficiency, and the bottom line.
Build and deploy large-scale dynamic URL redirects by applying Akamai Edge Redirector Cloudlets for marketing campaigns and site migrations.
Set up Akamai Forward Rewrite Cloudlets to redirect incoming requests to paths optimized for SEO and develop, test, and turn on shared and non-shared Cloudlet Policies using the Akamai Cloudlets Policy Manager.
Maintain custom match criteria — including Geo, Device Characteristics, RegEx, and Query Strings — to guarantee efficient origin offload and intelligent content delivery.

Nice To Haves

Extensive experience with AWS Cloud Platform and Kubernetes as a platform.
SRE on-call experience.
Hands-on experience deploying and scaling Generative AI/LLM applications, integrating vector databases, or managing GPU-accelerated infrastructure.
Strong Akamai CDN Support skills and deep understanding of edge computing/edge AI.
Excellent communication, presentation, and analytical skills; the ability to communicate sophisticated infrastructure and AI concepts clearly across different audiences and varying levels of the organization.

Responsibilities

Quickly identify and categorize user-reported problems within the Digital Marketing Organization ecosystem.
On-board new applications, AI/ML services, and model endpoints on AWS Infrastructure.
Make meaningful contributions to the overall health, performance, and uptime of our services running in Linux and Windows.
Implement monitors, alerts, and SOPs to ensure early detection and accurate response to service-impacting issues, including tracking model drift and inference latency.
Take ownership of automating, scripting, and tooling of new/existing scripts to achieve 100% automation of daily tasks and ML CI/CD deployment pipelines.
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.
Build and implement large-scale dynamic URL redirects by applying Akamai Edge Redirector Cloudlets for marketing campaigns and site migrations.
Set up Akamai Forward Rewrite Cloudlets to redirect incoming requests to SEO-friendly URLs.
Develop, test, and deploy 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 guarantee efficient origin offload and smart content delivery.