Senior AI Cloud SRE | Kubernetes & Observability

NVIDIA; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

NVIDIA in Zürich seeks an experienced Senior Site Reliability Engineer to maintain and scale DGX Cloud clusters for AI researchers and enterprise clients worldwide.

You will define SLOs, build observability stacks, automate infrastructure, and lead on-call incidents across multiple clouds, ensuring high reliability and velocity.

The role requires 10+ years of production experience, deep Kubernetes expertise, and strong programming skills in Python or Go.

Qualifikationen

• 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.
• Experience with infrastructure automation tools (Terraform, Ansible, Chef, Puppet).
• Proficiency in Python or Go.
• Deep knowledge of Linux, TCP/IP, and cloud security.
• Strong SRE fundamentals: SLOs/SLIs, error budgets, incident handling.
• Experience with observability stacks: OpenTelemetry, Prometheus, Grafana, ELK, Splunk.

Aufgaben

• Build, deploy and support large-scale Kubernetes clusters with emphasis on performance and reliability.
• Define SLOs/SLIs and monitor error budgets, reporting outcomes.
• Develop tools and automation for capacity planning and launch reviews.
• Maintain live services by measuring availability, latency, and health.
• Operate GPU workloads across cloud providers and private clouds.
• Lead triage and root-cause analysis of high-severity incidents.
• Participate in on-call rotations and conduct blameless postmortems.

Kenntnisse

Kubernetes

SRE principles

Observability

Ausbildung

BS in Computer Science or related field

Tools

Terraform

Ansible

Chef

Puppet

OpenTelemetry

Prometheus

Grafana

ELK Stack

Lightstep

Splunk

Jobbeschreibung

NVIDIA in Zürich seeks an experienced Senior Site Reliability Engineer to maintain and scale DGX Cloud clusters for AI researchers and enterprise clients worldwide.

You will define SLOs, build observability stacks, automate infrastructure, and lead on-call incidents across multiple clouds, ensuring high reliability and velocity.

The role requires 10+ years of production experience, deep Kubernetes expertise, and strong programming skills in Python or Go.