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AI-First Generalist Engineer – Patch Backporting Infrastructure

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 2009H1B No SponsorCompany SiteLinkedIn

Location

Poland

Posted

98 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishDockerJenkinsPython

Job Description

AI-First Generalist Engineer – Patch Backporting Infrastructure

CloudLinux

• 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. • 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. • 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.

Job Requirements

  • Bachelor's or Master's in Computer Science, Engineering, or a related field
  • 3+ years of professional experience as a developer or engineering lead
  • Generalist engineering DNA — comfortable across the stack: backend services, CI/CD pipelines, data migrations, infrastructure-as-code. You pick up whatever language or tool the problem demands.
  • Hands-on LLM integration — experience calling LLM APIs (OpenAI, Anthropic, etc.) and familiarity with techniques like RAG, CAG, and agentic patterns
  • AI-native development workflow — you actively use AI coding agents (Cursor, Windsurf, aider, Claude Code, etc.) not as a novelty but as your primary mode of building software
  • Infrastructure skills — CI/CD (Jenkins / GitLab CI), containerization (Docker), testing automation
  • Experience establishing projects from scratch, including basic DevOps setup
  • Ownership mindset — you find bottlenecks and build the tooling to remove them, without waiting for a ticket
  • Cross-functional teamwork — proven ability to coordinate across multiple teams
  • Effective asynchronous and remote communication.
  • Nice-to-Haves
  • Proficiency in Python — including advanced topics: multithreading, async, networking, OS internals (the current codebase is predominantly Python)
  • Published research or experience validating engineering hypotheses through experiments
  • Data analysis skills — representing results, building metrics
  • Basic knowledge of C (ability to read a small C diff and reason about its impact)
  • Experience mentoring junior engineers

Benefits

  • A strong focus on professional development with opportunities for learning and growth:
  • Interesting and challenging projects,
  • Mentor and other knowledge-exchange programs.
  • 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 to ensure you maintain a healthy work-life balance.
  • Compensation for private medical insurance.
  • Co-working and gym/sports reimbursement.
  • The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation.

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