System Software Engineer at NVIDIA architecting scalable tech stack for global training support. Collaborating with teams to ensure efficient training systems for AI learners.
Responsibilities
Architect, build, and evolve the scalable technology stack for global learner and instructor technical support.
Lead the global operationalization of support systems, to ensure high availability, performance, and efficient resource utilization.
Provide technical leadership and mentorship to a distributed operations team, driving excellence in the use of support technologies and processes.
Collaborate cross-functionally to translate support insights and user feedback into systemic improvements to shared NVIDIA services, the DLI platform, and overall experience for enterprises, learners, and instructors.
Requirements
Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
Over 6 years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including hands-on work with EKS, AKS, and GKE.
Proficient in Python and Linux shell scripting for automation, application development, system administration, and troubleshooting.
Validated experience architecting, implementing, and managing cloud infrastructure using Terraform.
Demonstrated ability as a meticulous problem-solver with strong analytical skills, capable of diagnosing and resolving complex technical challenges under pressure.
Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents.
Benefits
Competitive salaries and a generous benefits package
Job title
Senior System Software Engineer, Platform Operations
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