Senior System Software Engineer, Platform Operations

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

Nice to haves:

• Proven experience designing and implementing event-driven architectures using pub/sub patterns with platforms like AWS SNS / SQS, Google Pub / Sub, or Azure Service Bus
• Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases
• Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT) for model development, serving, and optimization. Production experience with NVIDIA NIM is a strong plus
• Experienced in building and running CI/CD pipelines (Jenkins, GitLab CI) and managed software development environments, applying SRE principles to automate, enhance reliability, and improve performance
• Familiarity with Python-based Learning Management Systems (LMS) such as Open edX

What you’ll be doing:

• 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

Perks and benefits:

• Competitive salaries
• Generous benefits package
• Considered one of the technology world’s most desirable employers
• Best-in-class teams are rapidly growing due to unparalleled growth