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Principal Software Engineer – GCP Hosted Control Planes
Red Hat. Lead the design of the GCP HCP platform architecture, including multi-region scalability, multi-tenancy and isolation, automated lifecycle management, and operational resilience .
Posted 5/1/2026full-timeRaleigh • North Carolina • 🇺🇸 United StatesLead💰 $148,540 - $245,050 per yearWebsite
Tech Stack
Tools & technologiesCloudDistributed SystemsGoGoogle Cloud PlatformKubernetesOpenShift
About the role
Key responsibilities & impact- Lead the design of the GCP HCP platform architecture, including multi-region scalability, multi-tenancy and isolation, automated lifecycle management, and operational resilience
- Design and evolve the team's harness engineering infrastructure: the system of architectural constraints, custom linters, structural tests, CI gates, and feedback loops that enable AI agents to produce reliable work at scale
- Define and maintain the team's documentation architecture — a structured knowledge base that serves as the source of truth for both agents and engineers, treating AGENTS.md as the table of contents with deep references into design documents, architecture decision records, and operational runbooks
- Decompose complex system goals into well-bounded building blocks suitable for agent-driven implementation; evaluate when agent-generated approaches are sound and when they introduce unacceptable risk
- Identify and address architectural drift, entropy, and emergent quality issues across a large, agent-maintained codebase — designing systematic 'garbage collection' processes to fight decay
- Lead architectural discussions across the HyperShift project, Cluster API communities, GCP platform integrations, and internal Red Hat teams
- Establish and enforce patterns for secure, maintainable, and observable systems — defining the module boundaries, dependency hierarchies, and interface contracts that constrain the solution space for both humans and agents
- Mentor senior engineers in harness engineering practices: crafting effective specifications, designing structural constraints, building agent-friendly documentation, and developing critical review skills for agent output
- Define quality bars, test strategies, and operational readiness criteria for agent-produced features, collaborating with Product Management and technical support to ensure production standards are met
- Serve as an escalation point for complex customer issues and production incidents beyond front-line technical support, applying deep platform knowledge to diagnosis and resolution
- Participate in on-call rotations to support production managed services
- Maintain a visible technical leadership presence in the Kubernetes, OpenShift, and GCP communities
Requirements
What you’ll need- 10+ years of software engineering experience with strong proficiency in Go
- Deep expertise in Kubernetes internals, including controller/operator patterns, API server architecture, and cluster lifecycle management
- Demonstrated experience making architectural decisions for large-scale distributed systems in production
- Experience with at least one major public cloud platform at depth (GCP preferred), including compute, networking, identity, and managed services
- Track record of defining and enforcing architectural standards, coding conventions, or structural constraints across a multi-engineer codebase
- Strong written communication skills — ability to produce precise, structured technical documentation that serves as executable context for AI agents and as durable reference for engineers
- Experience or demonstrated aptitude with AI-assisted development workflows, including critical evaluation of machine-generated code and understanding of how to design systems that AI agents can work within effectively
- Ability to lead and influence without direct authority, across teams and organizational boundaries
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Flexible Spending Account - healthcare and dependent care
- Health Savings Account - high deductible medical plan
- Retirement 401(k) with employer match
- Paid time off and holidays
- Paid parental leave plans for all new parents
- Leave benefits including disability, paid family medical leave, and paid military leave
- Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, and employee assistance program
ATS Keywords
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Hard Skills & Tools
GoKubernetesOpenShiftGCPdistributed systemsarchitectural standardscoding conventionsAI-assisted development workflowsAPI server architecturecluster lifecycle management
Soft Skills
written communicationmentoringleadershipinfluence without authoritycollaborationcritical evaluationproblem-solvingdocumentation skillstechnical reviewcustomer issue resolution