CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote-first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we are all successful.

Our portfolio includes products such as CloudLinux OS, Imunify360, and other infrastructure and security solutions used by hosting providers, enterprises, and Linux-based businesses worldwide.

We are hiring Product Engineers across different product areas and technical domains. Depending on your background and strengths, you may contribute to one of our core products, platform components, security solutions, automation systems, or new AI-first initiatives.

Check out our website for more information https://cloudlinux.com/

The Mission

CloudLinux is moving away from fragmented, over-aligned development. We are looking for a Product Engineer to take absolute, end-to-end ownership of a specific product domain, platform component, or business-critical technical area.

In this role, you are not just a senior coder; you are the technical and operational driver of your domain. You will build, own the roadmap, and orchestrate delivery using an AI-first approach to help CloudLinux scale smart — not through “money rain,” but through elite, lean efficiency.

What You’ll Do:

End-to-End Domain Orchestration

• Absolute Domain Ownership: Take responsibility for a specific part of the platform or product. You will shape the technical direction, write and review production code, maintain CI/CD pipelines, prepare releases, and make sure your area is stable in production.

• Rapid Prototyping: Turn ideas, experiments, or unclear requirements into working solutions. Use AI tools where they help speed up routine work, such as drafting technical specs, creating tests, refactoring, or planning implementation.
• Smart Scaling: Identify technical bottlenecks in your area and lead the changes needed to fix them. This may include architecture improvements, infrastructure changes, cloud-related work, or better observability.

AI-Agentic Development

• Daily orchestration: Use tools like Claude Code, or similar assistants as part of your development process. This may include debugging, writing tests, refactoring legacy code, improving documentation, or exploring unfamiliar parts of the codebase.
• Validation & integrity: You act as the "Interception Layer." You validate AI outputs to ensure your domain doesn't drift into "Dark Architecture" or "AI Slop."

Product & Operational Leadership

• Connect product needs with engineering execution: Work with stakeholders to understand business needs and turn them into clear technical plans. Help prioritize work based on impact, risk, and technical complexity, and push back on work that does not bring enough value.
• Keep ownership clear and execution focused: Stay close to how your work behaves in production. Help with incidents, improve monitoring and observability, and reduce unnecessary process overhead where possible.