Back
Tier-1 employer and metro location increase competition, but seniority and niche Kubernetes platform skills limit applicant density.
Deep Kubernetes platform and network infrastructure expertise required makes cross-industry transferability limited.
Explicit 8+ years requirement plus deep Kubernetes, programming, GitOps, and production-oncall experience enforces strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own design, build, and operation of Kubernetes platform powering NVIDIA’s global network automation and telemetry across data centers, colocation, and cloud.
Manage full Kubernetes cluster lifecycle including onboarding, upgrades, capacity, availability, recovery, and automation via GitOps.
Provide production support and lead incident management for network services on the platform, accountable end-to-end for resolution and corrective actions.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
8+ years experience building or operating production Kubernetes platforms, network infrastructure, or distributed systems.
Deep expertise with Kubernetes at scale including cluster lifecycle, upgrades, networking, storage, and recovery.
Proficiency in at least one programming language such as Go or Python; experience with GitOps, infrastructure as code, CI/CD, and production incident management.
Experienced individual contributor engineer with ownership of large-scale Kubernetes platform lifecycle and automation in multi-region or hybrid environments.
Strong operational expertise in production on-call, incident response, and root-cause analysis driving issues through to resolution.
Technical fluency in network automation, telemetry services on Kubernetes, and familiarity with Cluster API, Metal3, or Kubernetes operator/controller development.