Title : Lead Full-Stack Engineer (.NET / C#)
Employment Type : Full-Time, Direct Hire
Location : Hybrid New York, NY
Visa Sponsorship : Not available
Join our team as a Lead Full-Stack Engineer, where you'll play a pivotal role in designing and building systems that streamline operational workflows following trade execution. This is a hands-on engineering role with a strong architectural component, ideal for someone who thrives in complex technical environments and enjoys cross-functional collaboration.
Youll develop scalable applications that integrate seamlessly with both proprietary and third-party platforms, supporting key Treasury and Operations functions. Your work will focus on automation, data integrity, and process optimization across financing, margin, FX, and liquidity management.
This role offers exposure to a broad range of financial instruments and operational processesperfect for engineers who are passionate about solving real-world problems in a dynamic, high-impact domain.
Responsibilities
- Design, build, and maintain full-stack applications using modern development practices and cloud-native technologies
- Collaborate with stakeholders to translate business requirements into scalable technical solutions
- Ensure seamless interoperability across systems in an event-driven architecture
- Identify and resolve performance bottlenecks and system-level issues
- Uphold high standards of code quality, testing, and deployment via CI / CD pipelines
- Document architecture, workflows, and deployment strategies for maintainability and transparency
Minimum Qualifications
5+ years of experience developing enterprise-grade applications in C# / .NETProven leadership or mentorship experience in engineering teamsStrong proficiency in SQL and relational database designExperience with containerization and cloud platforms (e.g., Docker, Kubernetes)Excellent communication and problem-solving skillsFamiliarity with financial products or asset classes (e.g., equities, fixed income)Preferred Qualifications
Front-end development experience with ReactProficiency in Python and data libraries such as PandasExposure to distributed computing frameworks (e.g., Apache Spark)Familiarity with technologies like Redis, Kafka, GraphQL, OLAP databases, Redshift, Snowflake, and Lakehouse architectures