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.