Senior Software Engineer – GCP
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Job Description
Senior Software Engineer developing Go and Kubernetes features for Red Hat's GCP HCP platform. Engaging in AI-focused development and operational automation for enterprise-grade managed Kubernetes.
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.
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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