Duties and responsibilities

• Design, implement and evolve scalable backend services using C# / .NET
• Contribute to microservices architecture and domain-driven design initiatives
• Own features end-to-end from technical design to production rollout
• Participate in architecture discussions and system evolution decisions
• Collaborate with cross-functional teams (Frontend, DevOps, QA, Product)
• Support modernization of legacy components into distributed systems
• Contribute to API design and internal platform capabilities
• Participate in improving CI/CD pipelines and DevOps maturity
• Contribute to observability, monitoring and reliability improvements
• Ensure high standards of code quality, maintainability and security
• Support integration with telephony, VoIP, financial and regulatory systems
• Take part in research and experimentation with AI-based solutions where applicable
• Mentor junior developers and contribute to knowledge sharing

Required Qualifications, Experience & Competencies

Professional Experience & Skills

• Core Engineering Foundation

• 5+ years of professional software engineering experience
• Strong foundation in computer science fundamentals (data structures, algorithms, distributed systems, system design)
• Ability to design scalable, maintainable and resilient systems
• Experience working on complex, mission-critical systems
• Deep understanding of backend architecture principles
• Strong API design and service-oriented architecture mindset
• Experience reasoning about performance, reliability and security

• Technology Adaptability

• Proficiency in at least one modern backend programming language (C#/.NET experience is highly valued, but strong engineers from other ecosystems are welcome)
• Experience working in distributed or microservices-based systems
• Solid database design knowledge (relational and/or NoSQL)
• Experience working with cloud environments (Azure preferred, but not mandatory)
• Comfort navigating hybrid (cloud + on-prem) environments
• Learning agility and architectural thinking over specific library knowledge

• AI & Modern Engineering Mindset

• Interest in applying AI-assisted development practices
• Openness to integrating AI-driven features into products
• Curiosity toward automation, intelligent workflows and experimentation
• Experience using modern AI development tools (Copilot, LLM-based workflows, etc.) is an advantage
• Growth mindset toward emerging technologies
• Active contribution to AI-enabled engineering workflows and intelligent product capabilities

• DevOps & Engineering Culture

• Understanding of CI/CD principles
• Ownership mentality and accountability for production systems
• Experience working in collaborative, cross-functional teams
• Desire to contribute to high-performance engineering culture
• English proficiency (written and spoken)

Advantages

• Experience in telecommunication systems (VoIP, SIP, RTP)
• Experience in highly regulated environments
• Experience with financial systems or billing engines
• Domain-driven design experience
• Experience contributing to DevOps transformation initiatives
• Exposure to AI-driven features or experimentation

We are offering 

• Professional challenges, inspiring, diverse tasks
• structured development process
• learning path on new technologies (AI, LLM)
• multiculture environment
• flexible working hours and home office days
• relaxed atmosphere, steady, supportive international team
• easily accessible modern office with good infrastructure
• complimentary coffee, fruit and snacks