Senior Software Engineer -GCP

What you will do

• 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 observability, deployment pipelines, and automation that support multi‑region managed Open Shift 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, Hyper Shift 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.

• 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 Hyper Shift or multi‑tenant Kubernetes control plane architectures.
• Experience writing custom linters, static analysis rules, or structural/architectural tests.
• Experience with infrastructure‑as‑code and Git Ops tools (Terraform, Tekton, ArgoCD).
• Experience with observability systems (Prometheus, Google Managed Prometheus).
• Participation in open source communities; contributions to Kubernetes or Open Shift 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.

• 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.

$ – $ (actual offer based on qualifications).

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