Senior-Principal .NET Engineer

Project description

We are seeking an experienced Senior C# Developer to join a collaborative engineering team focused on enhancing Portfolio Management capabilities. This role will partner closely with engineering, trading, risk, and operations teams to design and deliver scalable, high-performance solutions that improve portfolio transparency, accuracy, and operational efficiency across the firm. The ideal candidate combines strong technical expertise in C#/.NET with a deep understanding of portfolio and position management concepts, and an interest in modern development practices including AI-enabled engineering and specification-driven development.

Responsibilities

• - Portfolio Management Enhancement Partner with cross-functional teams to improve and extend portfolio management capabilities Enhance portfolio aggregation, exposure calculation, and P&L reporting functionality Improve intraday and end-of-day position workflows and controls Contribute to strategic initiatives modernizing portfolio and position infrastructure - Core Development Design, develop, and maintain high-performance services in C# / .NET Contribute to the evolution of the Position Service architecture Develop and enhance functionality within the Portfolio Management platform Build scalable, resilient microservices supporting portfolio and order management workflows Write clean, maintainable, and well-tested code following engineering best practices - AI & Intelligent Systems Identify opportunities to leverage AI/ML and automation to enhance portfolio analytics, reconciliation, monitoring, and operational workflows Collaborate on integrating AI-driven tools into the development lifecycle (e.g., intelligent code generation, review, testing, and documentation) Contribute to the design of systems that enable advanced analytics and data-driven insights - Specification-Driven Development Promote and apply specification-driven development practices, including clear technical design documents and formalized functional requirements Translate business requirements into precise system specifications prior to implementation Ensure alignment between architecture, documentation, and delivered functionality Improve development velocity and quality through stronger upfront design and validation processes - System Design & Optimization Improve system performance, scalability, and reliability Optimize data processing pipelines and database interactions Design and maintain robust APIs for internal consumers Support both real-time and batch processing requirements - Collaboration & Leadership Work closely with portfolio managers, traders, risk, and operations teams to translate business requirements into technical solutions Collaborate within the engineering team to drive architectural improvements Participate in code reviews and mentor junior developers Promote best practices in testing, CI/CD, monitoring, and observability

SKILLS

Must have

• - Minimum 8 years of software engineering experience, preferably in hedge funds or financial services - Deep expertise in C# and .NET (Core/Framework) - Strong computer science fundamentals, including algorithms and data structures - Deep understanding of OOD/OOP, SOLID principles, and design patterns - Experience building distributed systems and service-oriented architectures - Proven ability to design, build, and support scalable, high-availability production applications - Experience with multi-threaded and concurrent programming - Experience with messaging systems and asynchronous programming - Strong SQL and database design experience - Full lifecycle experience, from requirements gathering through implementation, testing, release, and support - Independent, proactive mindset with strong ownership and accountability - Excellent written and verbal English communication skills - Strong team player with solid collaboration and stakeholder management skills - Bachelor's degree in computer science or engineering

Nice to have

- Working knowledge of Angular - Understanding of: ◦ Portfolio management concepts ◦ Position management systems ◦ Trade and order lifecycle - Experience in asset management, hedge funds, or trading environments - Familiarity with real-time position and P&L calculation frameworks - Exposure to AI/ML applications in financial systems or software engineering workflows - Cloud platform experience (Azure or AWS) - Experience with containerization (Docker, Kubernetes) - Exposure to event-driven architecture patterns - Exposure to Confluent Kafka or similar streaming workflows