Senior Software Engineer -GCP

Red Hat is the world’s leading provider of enterprise open source software solutions, and they are seeking a Senior Software Engineer to join their GCP Hosted Control Planes team. This role involves designing and implementing features for a managed service that enables organizations to run OpenShift Kubernetes clusters on Google Cloud Platform, while also working with AI coding agents to enhance software development processes.

Responsibilities:

• Design and implement features, bug fixes, and infrastructure automation for the GCP HCP platform using Go and Kubernetes
• Work within an agent-augmented development workflow: decompose work into well-specified tasks, guide AI agents through implementation, and rigorously review agent-generated code and tests
• Write and maintain custom linters, structural tests, and CI gate checks that enforce architectural boundaries and prevent drift — for both human and agent contributors
• Contribute to the team's structured documentation system (design documents, architecture decision records, AGENTS.md context files) that serves as the source of truth for AI agents and humans alike
• Build and maintain the observability, deployment pipelines, and automation that support multi-region managed OpenShift clusters on GCP
• Participate in peer code reviews with a focus on correctness, security, and adherence to established architectural constraints
• Own test strategy for the features you deliver — design test plans, write unit and integration tests, and ensure end-to-end coverage across the platform's multi-region architecture
• Troubleshoot complex issues across distributed systems spanning GKE host clusters, HyperShift control planes, and customer workloads
• Participate in on-call rotations to support production managed services
• Mentor peers and contribute to a culture of continuous improvement in both technical craft and agent-augmented workflows

Requirements:

• 5+ years of experience developing software in a Linux environment, with strong proficiency in Go
• Experience with the Kubernetes ecosystem, including writing and operating controllers and operators
• Experience with at least one major public cloud platform (GCP preferred; AWS or Azure also relevant)
• Experience with distributed version control (Git) and CI/CD systems
• Good understanding of Linux operating systems and container runtimes
• Demonstrated ability to review code critically and troubleshoot complex issues in distributed systems
• Excellent written communication skills — you will write documentation and specifications that serve as executable context for AI agents, not just other humans
• Comfort working with AI coding tools (code generation, agent-driven workflows, LLM-assisted review) as part of daily development practice
• Experience with GKE, GCP networking, GCP IAM, or Workload Identity Federation
• Understanding of HyperShift or multi-tenant Kubernetes control plane architectures
• Experience writing custom linters, static analysis rules, or structural/architectural tests
• Experience with infrastructure-as-code and GitOps tools (Terraform, Tekton, ArgoCD)
• Experience with observability systems (Prometheus, Google Managed Prometheus)
• Participation in open source communities; contributions to Kubernetes or OpenShift upstream projects
• Experience designing or maintaining CI/CD pipelines that serve as quality gates for agent-generated code
• Familiarity with prompt engineering, agent context design, or structured documentation practices for AI-assisted development