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AI-First Generalist Engineer - Patch Backporting Infrastructure (remote, Europe)

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. We are truly a great place to work. Check out our website for more information: cloudlinux.com .

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 of CentOS, Ubuntu, Debian, Oracle Linux, PHP, Python, Spring frameworks, Angular/AngularJS, Django, Flask. For more information, visit our website: tuxcare.com/endless-lifecycle-support

We're looking for AI-First Generalist Engineer · Patch Backporting Infrastructure to join our team tackling the challenge of AI-powered patch backporting.

The Mission

We automate patch management and vulnerability mitigation across large-scale Linux systems, powered by AI. We need a generalist engineer who doesn't just "use" AI tools occasionally — but who develops through AI agents as a default working mode. You'll orchestrate AI-assisted coding tools to design, build, test, and ship services, data pipelines, and automation infrastructure that our backporting platform runs on.

You'll own critical workstreams end-to-end: transitioning services onto a new Automation Pipeline, onboarding a new product, migrating historical data — all at a pace that's only possible when AI agents are first-class participants in your development workflow. The stack is primarily Python today, but we're hiring for engineering versatility, not language loyalty.

What You'll Drive

1. AI-First Engineering & Infrastructure

  • Build and extend services, CLIs, and data pipelines — using AI agents as your primary development lever to achieve extreme iteration speed.
  • Adjust and enhance the existing AI-powered backporting automation to handle new data types and product requirements.
  • Migrate tens of thousands of entries of historical data between storage systems while maintaining compatibility with downstream tooling.
  • Design and implement workflows for features currently missing from the automation pipelines.
  • Treat iteration velocity as a first-class metric — build the way you ship: fast, measurable, and with AI doing the heavy lifting on boilerplate, tests, and scaffolding.

2. Platform Transition & Delivery

  • Drive the migration of teams and services from the legacy pipeline to the new Automation Pipeline infrastructure, ensuring zero disruption to ongoing backporting work.
  • Audit both old and new pipeline implementations — make sure nothing viable is lost in transit.
  • Onboard the new product seamlessly into the existing ecosystem, designing any missing integrations along the way.

3. Collaboration & Scaling

  • Collaborate across units to onboard more customers and domains onto the shared benchmarking infrastructure.
  • Bypass the documentation tax: leverage AI to automate knowledge sharing, onboarding artifacts, and technical documentation — the team scales through high-signal artifacts, not meetings.
  • Share updates on delivered features effectively and asynchronously.

About CloudLinux

CloudLinux is on a mission to make Linux secure, stable, and profitable, with over 500,000 product installations and 4,000 customers, including Liquid Web, 1&1, and Dell.
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