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 clean, maintainable code and components, following established architectural guidelines
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

Requirements

3+ years of сommercial experience with C# and modern .NET
Solid understanding of OOP, design patterns, data structures and algorithms
Hands-on experience with multithreading and asynchronous programming
Hands-on experience building and operating production systems
Familiarity with distributed systems and event-driven architectures, including message brokers such as RabbitMQ or Kafka
Understanding of scalability and reliability principles, with some exposure to performance tuning
Solid experience with relational databases (preferably PostgreSQL); familiarity with NoSQL is a plus
Experience working with APIs (any of REST, GraphQL, or gRPC)
Hands-on experience with Entity Framework
Hands-on experience with Docker; basic understanding of Kubernetes concepts
Experience writing unit and integration tests
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 AWS or other cloud platforms
Familiarity with Infrastructure as Code tools such as Terraform
Experience with fintech, trading, or other high-load domains