DevOps Engineer
Used Tools & Technologies
GoRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Docker @ 3
Grafana @ 3
Kubernetes @ 3
Linux @ 3
Prometheus @ 3
IaC @ 3
Terraform @ 3
Python @ 3
SQL @ 3
CI/CD @ 3
ArgoCD @ 3
AWS @ 3
Helm @ 3
Codex @ 3
Claude Code @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 of travelers browsing through Saily at any given moment.
To build the best product for our customers we foster an AI-native Product Engineering culture, where the engineer is the builder responsible for solving customer problems end-to-end (idea to production), AI agents are enablers that write most of the code and solve repeatable tasks, and everyone contributes to making Saily effective by suggesting areas for improvement and implementing changes. Curiosity, learning and sharing are expected; customer experience is always the focus.
Responsibilities
- Own infrastructure problems end-to-end — from code to user
- Enable team code quality, speed and deployment processes
- Ensure zero downtime for different environments and projects
- Implement new solutions based on the Infrastructure-as-Code (IaC) concept
- Search and implement effective solutions for scaling
- Improve existing and implement new, effective CI/CD processes
- Use AI agents for day-to-day work
Requirements
- 4+ years of infrastructure configuration, automation and testing experience
- Knowledge of Kubernetes and ArgoCD
- GitLab CI/CD expertise
- Experience with SQL databases
- Practical knowledge and application of IaC
- Autonomy, problem- and outcome-oriented mindset, ability to propose better solutions and learn new technologies quickly
- Interest in AI and working with AI agents
Bonus Points
- Python or Golang skills
- Experience with Grafana
Tools and Technologies Mentioned
- Linux, Docker, GitLab, ArgoCD, AWS, Terraform, Helm, OpenSearch, Prometheus, Python, Golang
- AI tools / agents: Claude Code, OpenAI Codex, OpenCode, Cursor with Composer
Salary
- Gross salary: 20,500 — 28,400 PLN/month (mentioned in the posting)