Senior DevOps Engineer - E-commerce

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.

Responsibilities:

• 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.

Requirements:

• 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.

Preferred Qualifications:

• 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.