.Net Engineer

We are looking for a .NET Engineer to join us in developing and expanding our fintech product. You’ll become part of a team with strong expertise in research, analysis, and product development, working on scalable, high-traffic systems where technology and data play a key role in shaping the product.

We combine deep technical expertise, data-driven decision-making, and a strong focus on continuous improvement to build innovative solutions that address real-world challenges in the fintech industry. If you enjoy solving complex engineering problems, working with modern technologies, and seeing your ideas make a tangible impact, we’d love to hear from you.

Our technology stack: C#, .NET 10, PostgreSQL, Redis, ClickHouse for big data storage and analytics, REST and GraphQL APIs, RabbitMQ, Apache Kafka, Docker, Kubernetes, AWS. GitLab, ArgoCD. Jira, Confluence, AI tools (ex. Claude Code).

Responsibilities:

• Design, develop and maintain scalable solutions for high-traffic systems using C# and modern .NET
• Analyze business and technical requirements and translate them into scalable, maintainable software architectures
• Collaborate with engineers and cross-functional stakeholders to design and deliver features
• Write clean, maintainable, testable, and well-documented code, supported by unit, integration and load tests
• Investigate production issues and improve system observability through effective use of logs, metrics, traces and business data
• Research and introduce new technologies, tools and engineering practices that can improve product quality and development efficiency
• Challenge existing approaches and actively contribute to the continuous improvement of the team, processes and product

Requirements:

• 5+ years of сommercial experience with C# and modern .NET
• Solid understanding of OOP, design patterns, data structures and algorithms, and software architecture
• Hands-on experience with multithreading and asynchronous programming
• Strong hands-on experience building and operating production systems, preferably high-load and highly available
• Practical experience with distributed systems, event-driven architectures, and real-time/low-latency data processing, using tools such as RabbitMQ and Kafka
• Strong understanding of scalability, reliability, and performance optimization — including autoscaling, performance tuning, and identifying/resolving system bottlenecks
• Strong experience with relational (preferably PostgreSQL) and NoSQL databases