System Engineer | Web Hosting

• Strong Linux OS experience (3+ years).

• Ansible proficiency - you trust automation, and know how to do it right.

• Programming or scripting skills in Python or Go (bonus if both).

• Experience managing and optimizing web servers, databases, and caching systems.

• Familiarity with cloud environments like GCP (or similar).

• Solid grasp of networking fundamentals - DNS, TCP/IP, HTTP.

• Experience applying Infrastructure as Code (IaC) principles and tools.

• Experience with DevOps practices and open-source contributions.

• Familiarity with CI/CD concepts and tools beyond GitHub Actions.

• Ability to read and understand Go and PHP code.

• Certifications like RHCSA or RHCE.

Join the team building an AI-first company.

Hostinger serves more than 5.5 million clients across 150 countries, but we're still excited about what we're creating next.

AI is changing how we build products, support customers, work together, and solve problems. It helps us move faster, spend less time on repetitive work, and focus on bigger ideas.

If you want your work to influence both what we build and how we build it, we'd like to meet you.

Our culture: Guided by 10 company principles.

We're looking for a System Engineer to help us solve real engineering challenges, keep our systems reliable, and build the foundation that powers millions of websites around the world.

You'll work alongside other system, software, and network engineers - people who care deeply about performance, simplicity, and resilience. Together, you'll design, run, and evolve systems that don't just work, but stay fast and dependable under pressure.

This isn't a role where you follow playbooks - you'll write them. You'll dig into the details, automate what slows us down, and share what you learn so the whole team gets stronger.

Curious to learn more? Meet your future Team Lead: Eimantas Šerpenskas, Head of Web Hosting Infrastructure

• Design, develop, and implement new features that make our hosting platform faster, more reliable, and easier to scale.

• Deploy and run infrastructure using Infrastructure as Code and automation, because manual work doesn't scale, and neither do shortcuts.

• Operate and observe systems through real metrics: availability, latency, performance, capacity, reliability - understanding the "why" behind every graph.

• Refine and tune systems to eliminate bottlenecks, simplify complexity, and improve reliability without adding overhead.

• Improve monitoring and alerting, aiming to catch symptoms before they turn into outages.

• Share knowledge with other engineers - guiding, reviewing, and helping raise the bar for how we build and maintain reliable systems.