About Saily
At Saily, we’re removing the hassle of staying connected while traveling — no roaming fees, no plastic SIM cards, just lightning-fast, secure mobile data in 200+ destinations. Saily has millions of paying customers and hundreds of thousands travelers browsing through Saily at any given moment.
To build the best product for our customers we foster AI-native Product Engineering culture, where: - The Engineer is the builder, who is responsible for solving customer problems end-to-end (idea to production) - AI Agents are the enablers who write most of the code and solve repeatable tasks to help the Engineers maximize their impact - Everyone contributes to making Saily effective by suggesting new areas for improvement to delegate to agents and then implementing the changes - Curiosity, learning and sharing are everyone's responsibility - Customer, having a comfortable, connected, hassle-free journey is never lost from the focus
We value growth over comfort, contribution over hierarchy, and impact over process. At Saily, we believe in giving sharp people context, autonomy, and AI as their multiplier to allow them to just do their best work.
Main Responsibilities
- Own infrastructure problems end-to-end — from idea to production
- Own networking and routing, every data packet is our responsibility
- Find new and interesting ways to improve network quality
- Improve code quality, speed and deployment processes
- Ensure zero downtime for different environments and projects
- Implement new solutions based on the IaC concept
- Search and implement effective solutions for scaling environments up or down
- Improve existing and implement new, effective CI/CD processes
- Use AI agents for your day-to-day work
Gross salary: 3,600 — 7,400 EUR/month
Core Requirements
- 4+ years of infrastructure configuration, automation and testing experience
- Strong experience with configuration management tools like Ansible/etc
- Experience with networking protocols and fundamental knowledge of IP networking
- Strong Python or Bash skills
- Experience (and love) for debugging and troubleshooting
- Experience working with physical resource management
- You like autonomy more than process
- You think in problems and outcomes, not tickets
- You challenge solutions and propose better ones
- You can learn new technologies quickly
- You are curious about AI and excited to work with agents
Tools You Will Use
- Linux, Docker, Ansible, Consul, Redis, Elasticsearch, Python, Grafana, Prometheus (Victoria Metrics)
- AI tools: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer
