Live opening · Posted 8 days ago
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Description supplied by the original job listing.
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.
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