Senior Site Reliability Engineer, DGX Cloud

Stack

Responsibilities

• ▹Support operational and reliability aspects of large-scale Kubernetes clusters
• ▹Define SLOs/SLIs and monitor error budgets
• ▹Support services through launch reviews and capacity management
• ▹Operate GPU workloads across AWS, GCP, Azure, OCI and private clouds
• ▹Scale and evolve systems through automation
• ▹Lead triage and root-cause analysis of high-severity incidents
• ▹Participate in on-call rotation

Requirements

• ▹BS in Computer Science or related field, or equivalent experience
• ▹10+ years operating production services
• ▹Expert-level Kubernetes administration and containerization
• ▹Infrastructure automation tools (Terraform, Ansible, Chef, Puppet)
• ▹Proficiency in a high-level language (e.g. Python, Go)
• ▹In-depth Linux, networking (TCP/IP) and cloud security knowledge
• ▹SRE principles: SLOs, SLIs, error budgets, incident handling
• ▹Building observability stacks (OpenTelemetry, Prometheus, Grafana, ELK, Splunk)

Nice to have

• ▹Operating GPU-accelerated clusters with KubeVirt in production
• ▹Applying generative AI to reduce operational toil
• ▹Workflow orchestration platforms (Temporal, Cadence, Airflow, Argo Workflows)

Soft skills

About the company

NVIDIA has been transforming computer graphics and accelerated computing for 25+ years; DGX Cloud delivers a fully managed AI platform on major cloud providers.