Overview

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 …

Responsibilities:
  • Own key components such as the Patch Backporter library and benchmarking infrastructure.
  • Design cross-component solutions to previously unsolved problems in automated patching.
  • Integrate your solutions into our existing CI/CD and automation stack so they are used in production, not just in experiments.
Required Qualifications:
  • Education & Experience: BSc or MSc in Computer Science, Engineering, or a related field.
  • Education & Experience: 5+ years in software engineering as a developer, tech lead, or team lead.
  • Education & Experience: Demonstrated ownership of complex systems or components (not just small features).
  • AI & LLMs: Hands-on experience integrating LLMs in real projects (OpenAI, Anthropic, etc.).
  • AI & LLMs: Familiarity with common approaches such as RAG, CAG, agents, tool-calling, etc.
  • Software Engineering: Strong Pythonskills, including:
  • Software Engineering: Asyncio / multithreading / multiprocessing concepts and usage.
  • Software Engineering: Testing frameworks (pytest, unittest) and a solid testing culture.
  • Software Engineering: Experience with database design and querying:
  • Software Engineering: PostgreSQL or another SQL database.
  • Software Engineering: MongoDB or another NoSQL database.
  • Infrastructure & Tooling: Experience with CI/CD tooling (Jenkins, GitLab CI, or similar), test automation, and containerization (Docker).
  • Infrastructure & Tooling: Confident Linux CLI user.
  • Infrastructure & Tooling: Experience supporting or operating services on Linux/Unix VMs.
  • Infrastructure & Tooling: Willingness and desire to use AI development tools (e.g., Cursor) in day-to-day work.
  • Ways of Working: Ability to take loosely defined problem statements and turn them into concrete plans (architecture, milestones, experiment design) with minimal supervision.
  • Ways of Working: Strong written communication skills in English (design docs, experiment logs, clear merge requests).
Benefits:
  • A focus on professional development.
  • Interesting and challenging projects.
  • Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
  • Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
  • Compensation for private medical insurance.
  • Co-working and gym/sports reimbursement.
  • Budget for education.
  • The opportunity to receive a reward for the most innovative idea that the company can patent.
Nice To Have:
  • Published research or documented experimentation experience in any Computer Science topic.
  • Experience formulating and testing hypotheses (e.g., comparing models, algorithms, or system designs).
  • Data analysisskills:
  • Representing results via tables, plots, or dashboards.
  • Designing meaningful metrics for system performance and quality.
  • Basic knowledge of the C language (able to read patches, understand diffs and build issues).
  • Regular usage of AI engineering tools (Cursor, WindSurf, aider, Claude Code, etc.).
Note:

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