Founded in 1993, Red Hat is an award-winning technology firm working to serve as the go-to company for communities of contributors, customers, and partners in c
Software Engineer – GCP Hosted Control Planes
Location
Ireland
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
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 • 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
Job Requirements
- Extensive 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
- Flexible work arrangements
- Professional development opportunities
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Software Engineer II
DozukiDriving operational excellence for leading industrial companies via frontline digital transformation.
• Write maintainable, testable, and efficient code for our SaaS platform. • Use modern, human-in-the-loop, and agentic AI workflows for maximum productivity. • Participate in code reviews and continuously learn best practices. • Research and implement technically feasible solutions to work items. • Work on both front-end and back-end projects as part of a cross-functional team. • Work with generative AI models to develop cutting-edge features for our customers. • Collaborate with QA to ensure the delivery of high-quality features. • Create and maintain software documentation to support our development process. • Help integrate software components into a fully functional system. • Contribute to evaluating and deploying tools, processes, and metrics. • Provide support and consultation on software systems usage. • Follow industry standards and project plans to ensure compliance and quality.
Director of Software Architecture
HometapHometap helps homeowners get more from homeownership — and life — by allowing them to access their equity, debt free.
• Manage a team of architects and contribute to beneficial technologies • Identify how AI can be leveraged across the company • Mentor architects from diverse backgrounds • Drive the establishment of our architecture methodology • Identify architectural investment needs based on the product roadmap • Partner with Product, Design, and Engineering Management to execute architecture work • Communicate architectural efforts and future technology vision
Software Engineer II, GTM AI Agents
ToastWe empower the restaurant community to delight guests, do what they love, and thrive.
• Spend the majority of your time coding and developing backend services and ML pipelines • Contribute to the development of new internal products that leverage LLMs and Agentic AI • Build and maintain the backend connections between our custom quoting engine, Salesforce, and internal data lakes • Collaborate with the team to solve synchronization challenges • Take defined product requirements and turn them into well-tested, production-ready code • Participate in code reviews and help maintain deep observability for every service the team ships.
• Design, code, test, and debug applications using modern programming practices. • Collaborate with senior developers and technical teams to support software development initiatives. • Learn and apply tools and technologies, including AI tools, Git, version control, JSON, and testing tools. • Assist in maintaining code documentation and version control processes. • Support Agile development practices and participate in sprint planning and reviews. • Engage in problem-solving and troubleshooting for development challenges. • Contribute to team objectives and take on additional responsibilities as needed.
