Senior Site Reliability Engineer – Kubernetes Platform
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is looking for a Senior SRE to own and scale the Kubernetes platform that assists NVIDIA's chip design (EDA) workloads.
You will be running Kubernetes at the edges of what it was developed for, including orchestrating enormous stateful jobs, license-constrained EDA tooling, latency-sensitive access to high-performance shared storage, and tenants with strict tapeout schedules.
The clusters you run sit alongside some of the largest EDA compute farms in the industry, spanning multiple on-prem datacenters and multiple public clouds.
Key responsibilities
- Own Kubernetes clusters end-to-end including planning, delivery, upgrades, day-2 operations, and decommissioning across on-prem datacenters and managed cloud Kubernetes such as EKS, GKE, RKE, and Red Hat OpenShift.
- Define and implement the multi-cluster lifecycle strategy, covering version skew policy, patch cadence, node image pipelines, controlled rollouts, and safe upgrade mechanics.
- Treat on-prem and CSP Kubernetes as one platform with consistent APIs, policy, and observability.
- Drive everything through Infrastructure-as-Code, GitOps, and declarative config.
- Design for failure with explicit fault domains, blast-radius containment, progressive delivery, and disciplined change control.
- Build end-to-end observability with metrics, logs, traces, and events to push toward data-driven and auto-healing operations.
- Participate in on-call rotations, lead incident response, drive root cause analysis, and publish high-quality RCAs.
- Partner with EDA engineering, storage, network, and data center operations teams to land changes cleanly and forecast infrastructure needs.
- Interface directly with internal EDA tenants and engineering teams to design and implement operational improvements.
Qualifications
- Bachelor's degree in Computer Science or a related technical field (or equivalent experience) with 8+ years building and supporting critical production services.
- Deep, hands-on Kubernetes operations experience, including debugging etcd, kubelet, CNI, CSI, scheduler behavior, API server load, container runtime, and control-plane degradation.
- Production experience with CSP-managed Kubernetes across upgrade models, networking, IAM integration, and node group lifecycles.
- Production experience operating self-managed Kubernetes on-premises across multiple datacenters, including cluster bring-up, bare-metal and GPU node lifecycles, and multi-site topology.
- Strong command of CI/CD and Infrastructure-as-Code tools such as Terraform, Ansible, Helm, Kustomize, Argo CD, or Flux.
- Demonstrated experience building large-scale infrastructure platforms for automated host lifecycle management, fleet reliability, auto-healing, and end-to-end observability.
- Proficiency with monitoring, metrics, and log collection tooling including Prometheus, Grafana, OpenTelemetry, Loki/ELK, and containerd.
- 5+ years of coding and scripting focusing on automation and operational management at scale in at least two languages such as Go, Python, Perl, or Ruby, with Go as a strong plus.
Nice to have
- Familiarity with EDA/silicon-design workflows, license management, or other license-constrained compute environments.
- Experience writing Kubernetes controllers, operators, admission webhooks, scheduler plugins, or device/CSI plugins that ran in production.
- Experience running stateful, storage-heavy, or GPU-accelerated workloads on Kubernetes at scale.
- Published technical write-ups or talks deep-diving into real-world reliability, observability, or large-scale Kubernetes/HPC problems.
- Maintainer or co-maintainer responsibilities for an open source component used in production at scale.
Benefits
- Eligible for equity.
- Comprehensive benefits package.
Job details
- Location: On-premise and remote options as part of multi-datacenter and cloud operations.
- Salary range: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5, determined based on location, experience, and objective job-related factors.
- Application deadline: Applications will be accepted at least until November 9, 2026.
About the company
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years through a unique legacy of innovation fueled by great technology and people.
The GPU, our invention, serves as the visual cortex of modern computers and sits at the heart of our products and services.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization, powering inventions from artificial intelligence to autonomous cars.
Additional information
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
