Description
We are looking for an Engineering Manager to lead a team of software and production engineers focused on Kubernetes-based operations, automation, reliability, and cluster lifecycle tooling. This leader will help run today's production systems while building the automation and engineering practices needed for the next generation of DGX Cloud infrastructure.
The successful candidate will lead a team of software and production engineers building and operating DGX Cloud infrastructure across NVIDIA Cloud Partner (NCP) and on-prem environments. They will drive execution across cluster operations, Kubernetes operability, automation, GitOps, observability, and incident response. Additionally, they will help define team priorities, roadmap, staffing, and operational ownership.
The ideal candidate will have 8+ years of industry experience, including 2+ years leading or managing engineers. They should have experience building or operating production infrastructure, cloud platforms, Kubernetes environments, or distributed systems. A strong understanding of reliability engineering, automation, observability, incident response, and operational excellence is also required.
Key responsibilities include:
- Leading a team of software and production engineers building and operating DGX Cloud infrastructure across NCP and on-prem environments
- Driving execution across cluster operations, Kubernetes operability, automation, GitOps, observability, and incident response
- Helping define team priorities, roadmap, staffing, and operational ownership
- Partnering with platform, workload, storage, networking, security, and TPM teams to improve production readiness
- Building a healthy on-call and incident review culture focused on learning, ownership, and durable fixes
- Coaching engineers, growing technical leaders, and creating clear ownership across ambiguous problem spaces
Requirements include:
- 8+ years of industry experience, including 2+ years leading or managing engineers
- Experience building or operating production infrastructure, cloud platforms, Kubernetes environments, or distributed systems
- Strong understanding of reliability engineering, automation, observability, incident response, and operational excellence
- Ability to work across teams and influence without direct authority
- Clear communication, strong prioritization, and sound judgment in fast-moving environments
- BS/MS in Computer Science or equivalent experience
Preferred qualifications include:
- Experience leading SRE, production engineering, infrastructure automation, or platform teams
- Experience with GPU infrastructure, Kubernetes fleet operations, GitOps, BMaaS/VMaaS, managed Kubernetes, or multi-cloud environments
- Track record of reducing toil, improving SLOs, and turning operational work into software-driven systems