Senior C# Developer

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SeniorFull-time

#356645·Dodano 5 dni temu·0

Źródło: LinkGroup

Tech Stack / Keywords

C#.NETBackendAgileArchitectureASP.NETWeb APISOLID

5+ years of hands-on experience in enterprise-level software development using C# and the .NET ecosystem (including Web API, asynchronous programming, and background services)
Strong command of System Architecture: practical knowledge of distributed systems, Enterprise Integration Patterns, and message brokers/service buses (e.g., RabbitMQ, MassTransit, Rebus or similar)
Solid database experience with MS SQL Server (or other relational databases) and micro-ORMs (e.g., Dapper) optimized for high throughput
Proficiency with standard DevOps toolchains: Git-based repositories, modern CI/CD platforms (Jenkins/TeamCity/GitLab CI), and configuration management tools
Practical exposure to Generative AI / Agentic AI workflows applied to software engineering practices
Financial Domain Knowledge (Quantitative & Risk):
- Solid understanding of Capital Markets, including Listed and OTC derivatives
- Familiarity with risk management concepts: Greeks (Delta, Gamma, Vega, Theta) and PnL Explain
- Understanding of Valuation Adjustments (XVA) such as CVA, FVA
- General 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 in daily development
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

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