Senior Site Reliability Engineer, DGX Cloud

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 (e.g., Terraform, Ansible, Chef, Puppet)
• Proficiency in at least one high-level programming language (e.g., Python, Go)
• In-depth knowledge of Linux operating systems, networking fundamentals (TCP/IP), and cloud security standards
• Proficient knowledge of SRE principles, encompassing SLOs, SLIs, error budgets, and incident handling
• Experience building and operating comprehensive observability stacks using tools like OpenTelemetry, Prometheus, Grafana, ELK Stack, Lightstep, Splunk, etc.

What you'll be doing:

• Build, implement and support operational and reliability aspects of large-scale Kubernetes clusters
• Define SLOs/SLIs, monitor error budgets, and streamline reporting
• Support services before launch and maintain live services
• Operate and optimize GPU workloads across various cloud platforms
• Scale systems sustainably through automation and push for reliability improvements
• Lead triage and root-cause analysis of incidents, practice blameless postmortems
• Participate in on-call rotation to support production services

Ways to stand out from the crowd:

• Operating GPU-accelerated clusters with KubeVirt in production
• Applying generative-AI techniques to reduce operational toil
• Experience with workflow orchestration platforms such as Temporal, Cadence, Airflow, Argo Workflows, or Step Functions