[Remote] Service Reliability Engineer
Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading company in AI and accelerated computing, seeking a driven Site Reliability Engineer to support their Compute Infrastructure Support team. The role involves maintaining high availability for on-prem and cloud products, monitoring systems, and improving operational processes.
Responsibilities
- Operate within a 24/7 follow-the-sun support model across multiple continents, working closely with a U.S.-based manager. Manage a 4-day, 10-hour schedule, including either Saturday or Sunday, with flexible early or late shifts to maintain global coverage
- Monitor and manage extensive production GPU and Kubernetes environments to ensure high availability and performance. Apply advanced tools to detect, prevent, and respond to incidents proactively
- Apply in-depth systems knowledge to analyze logs, metrics, and system behavior, diagnosing issues and implementing effective resolutions
- Develop and complete predictive automated support routines to prevent potential issues from impacting production
- Improve automation by integrating incident analysis insights into auto-healing and automated break-fix solutions
- Perform comprehensive systems administration, network administration, and security monitoring tasks
- Coordinate with domain experts and service owners to resolve complex issues efficiently
- Continuously improve service quality and operational processes based on incident feedback
- Foster strong interpersonal and communication skills to ensure effective coordination across teams during incident resolution
- Deliver outstanding customer focus, ensuring clients feel supported and valued throughout all interactions
Skills
- Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management
- Familiarity with GPU hardware and high-performance computing environments
- Proficiency with observability and incident management tools (Grafana, OpenTelemetry, PagerDuty, JIRA)
- Experience with Cloud platforms (AWS, Azure, GCP, OCI) is a plus; strong preference for on-prem expertise
- Highly motivated with strong communication skills, demonstrating the ability to work effectively with multi-functional teams
- 8+ years of experience coordinating large-scale production systems and more than 3 years of experience working in high-availability Internet, Cloud, or Data Center settings
- BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience
- Expert-level Linux system administration, automation using Ansible and/or Python and strong expertise in shell scripting, DNS, DHCP, storage systems, and core networking
- Proven experience in problem-solving and maintaining large-scale bare-metal infrastructure
- Excellent partnership, documentation, and mentoring skills
- Experience with scripting languages, particularly Python
- Prior experience running virtual machines under community-supported or commercial hypervisors
- Knowledge of application containers and container orchestration systems
- Basic understanding of Git
- Demonstrate ability to master and maintain complicated environments
Benefits
- Eligible for equity
- Eligible for benefits
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