📢 AI-First Generalist Engineer - Patch Backporting Infrastructure (remote, Europe)
🏢 Cloudlinux
📍 Yerevan, Armenia
🏠 #Remote
🔄 #FullTime
🗂️ #InformationTechnology
📝 Responsibilities
- 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.
✅ Requirements
- 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.
- 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
- 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:
- 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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