Site Reliability Engineer | Mid-Senior | Saily
Nord Security • LTAt 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
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
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
Technologies we use
Linux, Docker, Ansible, Consul, Redis, Elasticsearch, Python, Grafana, Prometheus (Victoria Metrics)
AI tools: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer