Senior Software Engineer – Kubernetes
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Job Description
Senior Software Engineer building NVIDIA Kubernetes management software for AI and high-performance computing infrastructure. Leading distributed-systems development, automation, testing, and engineer mentorship.
Responsibilities:
- Build and deliver software that creates, upgrades, scales, and operates Kubernetes clusters on customer-managed infrastructure
- Develop management plane capabilities for cluster lifecycle operations, node management, and fleet-wide health and status reporting
- Architect and implement Kubernetes controllers, operators, and custom resource definitions in Go
- Drive automated cluster provisioning across bare metal, virtualized, and cloud environments
- Lead technical builds, write build documentation, run build reviews, and align partner teams across the software and hardware stack
- Diagnose and improve performance, reliability, and security of complex asynchronous distributed systems
- Debug production issues
- Own unit, integration, and end-to-end test strategy
- Automate build, test, and release pipelines
- Mentor engineers and improve code reviews
- Maintain clear and current documentation and runbooks
- Prioritize tasks while maintaining high code quality
Requirements:
- BS/MS in Computer Science or a related field, or equivalent experience
- 8+ years of relevant software engineering experience, including building and operating production distributed systems
- Strong proficiency in a systems language (Go, C++, Rust, or Java)
- Solid data structures and algorithms fundamentals
- Ability to become productive in Go quickly
- Strong understanding of Kubernetes and container orchestration, including the API server, controllers, and reconciliation loops
- Background in distributed system build and development, including consistency, availability, and failure handling at scale
- Experience with Ansible and Terraform
- Experience establishing and managing CI/CD systems
- Solid Linux fundamentals
- Understanding of performance, security, and reliability in distributed environments
- Track record of leading technical builds and mentoring other engineers
- Broad experience with Go, especially concurrency and testing, and with client-go / controller-runtime
- Production experience operating Kubernetes at scale, including control plane or etcd scalability and availability
- Experience with Cluster API or infrastructure providers on bare metal, vSphere, OpenStack, or AWS
- Experience using GitLab, Jenkins, or other CI/CD platforms
- Expert knowledge of Linux kernel and system internals, or experience with GPU/DPU-accelerated infrastructure
- Open-source contributions to Kubernetes or related cloud-native projects
Benefits:
- Equity
- Comprehensive benefits package
- Benefits for you and your family
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