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Kubernetes Platform Engineer, Infrastructure
Mural Group. Build APIs, controllers, operators and automation that extend Kubernetes .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing Kubernetes platforms, focusing on API development, reliability, and performance optimization. Proficient in diagnosing production issues and collaborating with cross-functional teams to enhance system observability and automation.
Highest-signal resume keywords
Kubernetes ExperienceAPI DevelopmentDistributed Systems FundamentalsCI/CD PracticesProduction Systems Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesAPI DevelopmentControllersOperatorsCRDsCluster LifecycleSchedulingNetworkingDistributed SystemsAutomated Testing
Soft Skills
CollaborationProblem-SolvingDesign Decision Contribution
Tools & Technologies
CI/CD ToolsObservability ToolsCoding Agents
Industry Keywords
Cloud ProductsGPU InfrastructureAI InfrastructureProduction OperationNetwork Layers
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetes
About the role
Key responsibilities & impact- Build APIs, controllers, operators and automation that extend Kubernetes
- Improve platform reliability, observability and performance
- Diagnose production issues across application, Kubernetes, network and compute layers
- Implement correct handling of retries, failures, concurrency and reconciliation
- Work with infrastructure, inference, networking and security teams
- Contribute to design decisions
- Own managed Kubernetes platform components end to end, from design through production operation
Requirements
What you’ll need- Must be based in Dallas, San Francisco or New York City
- Software engineering experience on production systems
- Hands-on Kubernetes experience, including controllers or operators, CRDs, cluster lifecycle, scheduling and networking
- Solid distributed systems fundamentals
- Comfort with code review, automated testing, CI/CD and observability
- Experience with customer-facing cloud or Kubernetes products is nice to have
- GPU or AI infrastructure experience is nice to have
- Daily use of coding agents like Claude Code or Codex is nice to have
- Must be currently authorized to work in the U.S.
- Must answer whether U.S. work sponsorship is required now or in the future
Benefits
Comp & perks- Compensation is nearly all cash
- Bonus folded into base salary
- Equity component on top of base salary
- Remote work for now
- Hybrid work planned further down the road