About The Role

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
Experience designing and implementing APIs using REST, GraphQL, or gRPC
Hands-on experience with Entity Framework
Hands-on experience with Docker and solid understanding of Kubernetes concepts
Experience with AWS or other cloud platforms
Experience writing unit and integration tests, familiarity with TDD practices
Experience with any tools for continuous integration and delivery (preferably GitLab and ArgoCD)
Comfortable working in a fast-paced Agile environment
Understanding of modern AI capabilities and limitations, with hands-on experience using AI-powered coding assistants or agents
English proficiency at B1 level or higher for technical discussions and documentation

Will Be a Plus

Experience with ClickHouse or other analytical databases for large-scale data processing
Experience with Infrastructure as Code tools such as Terraform
Experience with fintech, trading, or other high-load domains