Senior C# Developer

Link Group is hiring a Senior C#/.NET Developer with expertise in financial domain knowledge, focusing on capital markets and risk management.

• 5+ years of experience in enterprise-level software development using C# and .NET ecosystem including Web API and asynchronous programming
• Strong knowledge of System Architecture, distributed systems, Enterprise Integration Patterns, and message brokers/service buses (RabbitMQ, MassTransit, Rebus or similar)
• Solid experience with MS SQL Server or other relational databases and micro-ORMs like Dapper
• Proficiency with DevOps toolchains including Git-based repositories and CI/CD platforms (Jenkins, TeamCity, GitLab CI)
• Practical exposure to Generative AI / Agentic AI workflows in software engineering
• Financial domain knowledge including capital markets, listed and OTC derivatives
• Familiarity with risk management concepts such as Greeks (Delta, Gamma, Vega, Theta) and PnL Explain
• Understanding of Valuation Adjustments (XVA) including CVA and FVA
• Awareness of liquidity risk, balance sheet metrics, and transactional workflows (pre-trade/booking)

• Designing and developing high-performance C#/.NET applications and backend services
• Building scalable, event-driven and distributed systems in enterprise environments
• Developing asynchronous communication solutions using messaging frameworks (e.g., Rebus)
• Working with ASP.NET Web API, Windows Services, and SignalR
• Applying clean architecture, SOLID principles, and design patterns
• Collaborating in Agile teams across international environments
• Participating in full software development lifecycle including architecture, implementation, testing, and deployment
• Working with CI/CD pipelines and DevOps tools such as Git, Bitbucket, Jenkins, TeamCity, and Ansible
• Optimizing and maintaining MS SQL databases and data-intensive applications
• Using ORM tools such as Dapper for efficient data access
• Contributing to code reviews, technical improvements, and engineering best practices
• Leveraging LLMs and AI-assisted development tools to improve software quality and engineering efficiency
• Delivering maintainable, scalable, and well-documented solutions under tight deadlines