
10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
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10,000+ employees
Founded 1993
🏢 Enterprise
💰 Corporate Round on 1999-03
Enterprise • Cloud
Red Hat is a leading provider of enterprise open source software solutions, helping companies worldwide to build and deploy applications across hybrid cloud infrastructures. With a strong focus on developing secure, stable, and innovative technologies, Red Hat offers a broad portfolio including products like Red Hat Enterprise Linux, Red Hat OpenShift, and Red Hat Ansible Automation Platform. These products support IT services on any infrastructure efficiently. Trusted by more than 90% of the U. S. Fortune 500, Red Hat empowers organizations to modernize their IT environments, leveraging open source communities to drive technological advancement.
• 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
• 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.
• Health insurance • Retirement plans • Professional development
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