[Remote] Senior Software Engineer -GCP
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- 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, employee assistance program, and more!
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