Senior Site Reliability Engineer, DGX Cloud

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters, focusing on performance at scale, real-time monitoring, logging and alerting • Define SLOs/SLIs, monitor error budgets, and streamline reporting • Support services before launch through system creation consulting, software tools, platforms and frameworks, capacity management, and launch reviews • Maintain live services by measuring and monitoring availability, latency, and overall system health • Operate and optimize GPU workloads across AWS, GCP, Azure, OCI, and private clouds • Scale systems sustainably through automation and drive changes that improve reliability and velocity • Lead triage and root-cause analysis of high-severity incidents • Practice balanced incident response and blameless postmortems • Participate in an on-call rotation to support production services

🎯 Requirements

• BS in Computer Science or related technical field, or equivalent experience • 10+ years of experience operating production services • Expert-level knowledge of Kubernetes administration, containerization, and microservices architecture • Experience with infrastructure automation tools such as Terraform, Ansible, Chef, or Puppet • Proficiency in at least one high-level programming language such as Python or Go • In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards • Proficient knowledge of SRE principles, including SLOs, SLIs, error budgets, and incident handling • Experience building and operating observability stacks for monitoring, logging, and tracing using tools such as OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, or Splunk • Ability to participate in an on-call rotation • Experience operating production services is required; equivalent experience may substitute for the stated BS credential