R&D Engineer - AI Patch Backporting (worldwide remote, work anywhere)

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 to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful.

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

We're looking for a versatile R&D Engineer to join our Backporting Research Team in Endless Lifecycle Support, tackling the challenge of AI-powered patch backporting.

Endless Lifecycle Support (ELS) enables organizations to continue securely using Linux distributions and software languages that have reached the end of life or no longer receive standard security support – delivering vulnerability patches for unsupported versions of CentOS, CentOS Stream, Ubuntu, Debian, Oracle Linux, PHP, Python, and Spring software development framework.

For more information, visit our website: https://tuxcare.com/endless-lifecycle-support/

About the Role

This is a hybrid role combining creative problem-solving with strong software engineering skills. You'll explore uncharted territory, rapidly prototype ideas, and bring successful concepts into production-ready systems. Your work will directly influence the way we automate patch management and vulnerability mitigation across large-scale systems.

This role is ideal for someone who enjoys experimenting, building, refining, and integrating research findings into real-world solutions.

Key Responsibilities

• Research & Innovation
• Ideate and validate improvements to our AI-powered patch backporter.
• Propose and test enhancements to boost backporting success on existing benchmarks.
• Run lightweight experiments to assess feasibility and value of new approaches.
• Engineering & Integration
• Implement research findings and integrate them into the production system.
• Collaborate with engineering teams to ensure smooth handover of solutions.
• Maintain and enhance existing codebases, tooling, and workflows.
• Enablement & Acceleration
• Improve research velocity through automation, tool development, and process optimization.
• Develop internal guidelines or best practices to streamline iteration.
• Collaboration & Communication
• Share research results and technical insights with internal stakeholders.
• Work cross-functionally with engineers, researchers, and DevOps.
• Document your work for future adoption and reuse.

You’ll be working at the intersection of cutting-edge AI and critical software infrastructure. We offer a highly collaborative environment where engineers are empowered to innovate, own their work, and make a tangible impact.