FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Software Engineer – Kubernetes
NVIDIA. Develop and build management plane capabilities such as cluster lifecycle operations (compose, upgrade, scale, repair, delete), node management, and fleet-wide health and status reporting, from development through production .
Posted 10/30/2026full-timeRemote • California • United StatesSenior💰 $184,000 - $356,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and managing Kubernetes-based systems, with a strong focus on automation, performance, and reliability in distributed environments. Proficient in Go programming and experienced in leading technical builds while mentoring engineering teams.
Highest-signal resume keywords
Kubernetes ArchitectureGo ProgrammingCI/CD Systems ManagementDistributed Systems DevelopmentAutomation with Ansible and Terraform
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GoC++RustJavaData StructuresAlgorithmsKubernetesLinuxCluster APIConcurrency
Soft Skills
MentoringTechnical LeadershipDocumentation
Tools & Technologies
AnsibleTerraformGitLabJenkinsController-runtime
Industry Keywords
Distributed SystemsCloud-nativeControl PlaneScalabilityOpen-source Contributions
Tech Stack
Tools & technologiesAnsibleAWSCloudDistributed SystemsJavaJenkinsKubernetesLinuxNode.jsOpenStackRustTerraformC++Go
About the role
Key responsibilities & impact- Develop and build management plane capabilities such as cluster lifecycle operations (compose, upgrade, scale, repair, delete), node management, and fleet-wide health and status reporting, from development through production
- Architect and implement Kubernetes controllers, operators, and custom resource definitions (CRDs) in Go, with reliable, idempotent reconciliation
- Drive automated cluster provisioning across bare metal, virtualized, and cloud environments, using Cluster API-style concepts and infrastructure providers
- Lead technical build by writing build docs, running build reviews, and aligning partner teams across the software and hardware stack
- Diagnose and improve the performance, reliability, and security of complex, asynchronous distributed systems, including debugging issues in production
- Own unit, integration, and end-to-end test strategy and automate build, test, and release pipelines
- Mentor engineers and improve code reviews
- Keep documentation and runbooks clear and current
- Prioritize various tasks while maintaining high code quality
Requirements
What you’ll need- 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 in automation using tools like 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
- Significant hands-on 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
Comp & perks- Highly competitive salaries
- Comprehensive benefits package
- Equity
- Benefits for you and your family