We are looking for an outstanding DevOps and Site Reliability Engineer to join the NVIDIA e-commerce team. You will be a key architect of our e-commerce platform, ensuring that our systems are scalable, resilient, and automated. The ideal candidate is a Terraform expert who views infrastructure as code (IaC) not just as a tool, but as a philosophy. You will bridge the gap between development and operations, focusing on system reliability, high availability, and the performance of our global e-commerce platform.
What you’ll be doing:
Architect and refine automated deployment Jenkins pipelines to ensure seamless, zero-downtime releases.
Design, build, and maintain enterprise-scale infrastructure using Terraform. Establish modular, reusable patterns for AWS resources.
Optimize and manage sophisticated AWS environments with a focus on cost-efficiency and security.
Transition our monitoring from reactive to proactive using AI-powered observability tools (e.g., Datadog Watchdog) for automated root cause analysis (RCA) and anomaly detection.
Define and monitor SLOs and SLAs. Lead incident response and conduct thorough post-mortems to improve system resilience.
What we need to see:
8+ years or equivalent industry experience
Bachelor's/Master's Degree in Computer Science, Software Engineering, or equivalent experience.
Exceptionally strong background in developing CI/CD processes and deployment pipelines using Jenkins.
Extensive experience architecting on AWS Cloud and running services such as API Gateway, Lambda, EKS/ECS, RDS, S3, and SQS.
Expert-level knowledge of Terraform (including state management, workspaces, and complex module development).
Advanced experience with Kubernetes (EKS) and Docker, including orchestration, service meshes, and Helm.
Strong proficiency in a scripting language, such as Python, for automation and custom tooling.
Strong communication skills.
Ways to stand out from the crowd:
Deep understanding of DNS and CDNs (e.g., Akamai, CloudFront).
Demonstrated use of AI tools to improve productivity and the quality of releases.
Applies secure-by-design principles across infrastructure, deployment automation, and operational processes.
AWS certifications are preferred.
#LI-Hybrid
Skills Required
- 8+ years industry experience
- Bachelor's/Master's degree in Computer Science, Software Engineering, or equivalent experience
- Strong background in CI/CD processes and Jenkins pipeline development
- Extensive experience architecting on AWS and running services such as API Gateway, Lambda, EKS/ECS, RDS, S3, and SQS
- Expert-level Terraform (state management, workspaces, complex module development)
- Advanced experience with Kubernetes (EKS) and Docker, including orchestration, service meshes, and Helm
- Strong proficiency in a scripting language such as Python for automation and custom tooling
- Strong communication skills
- Experience with AI-powered observability tools (e.g., Datadog Watchdog)
- Deep understanding of DNS and CDNs (Akamai, CloudFront)
- Applies secure-by-design principles across infrastructure and deployment automation
- AWS certifications
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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