#vacancy #DevOps #Belarus
Hi there,
I'm looking for a DevOps Engineer to join an international fintech company.
Core Details:
💼 4+ years of commercial experience
📍 Location: Belarus
🎓 Higher Education Degree
🗣 English Level B2 or higher
About the Project:
You'll be working on a financial platform serving as the foundation for various products. The role involves working in a Linux-based environment and participating in the entire infrastructure lifecycle — from architecture sizing and deployment to ongoing support.
Key Responsibilities:
- Maintain and optimize TeamCity build configurations
- Develop and manage CI/CD pipelines for automated deployment
- Configure and manage Docker and Docker Compose in containerized environments
- Monitor and troubleshoot infrastructure issues related to builds and deployments
- Collaborate with developers to streamline deployment processes
- Ensure security and compliance in deployment environments
Required Skills & Qualifications:
- Solid understanding of CI/CD concepts and build automation
- Hands-on experience with Docker and Docker Compose
- Familiarity with build tools (TeamCity, GitHub Actions, GitLab CI/CD)
- Linux environment expertise and scripting skills (Bash/Python)
- Strong problem-solving abilities and eagerness to learn
- Good communication skills and team collaboration
- Cloud services knowledge (AWS, Azure) is a plus
- Experience with AKS and Kubernetes best practices is a plus
Interested? Please DM me for more details or to apply!
Языки
английский (B2 — Средне-продвинутый)
Навыки
AKS
Cloud Technologies
computer programming
GitHub Actions
GitLab CI/CD
manage ICT virtualisation environments
operating systems
Python (computer programming)
SQL Server
TeamCity
Домены
Fin-tech
ИИ навыки
Cloud Technologies
computer programming
Jenkins (tools for software configuration management)
manage ICT virtualisation environments
operating systems
Python (computer programming)
SQL Server
* Навыки определены автоматически с помощью нейросети
ИИ домены
FinTech
* Домены определены автоматически с помощью нейросети