Software Engineer | $150k+
Spotted 2h agofulltime
Job description
About this role
Employer-provided description, formatted for easier reading.
Feldspar & Flint LLC is a Recruiting & Staffing firm that specializes in operational strategy across core business functions.
We are seeking a Backend Engineer to develop applications and data pipelines supporting an asset management firm's financial operations. This role combines hands-on software engineering with direct business engagement across portfolio analytics, fund performance, accounting, and middle-office operations.
Responsibilities
- Design, develop, and maintain scalable backend applications supporting investment management and financial operations.
- Build and enhance backend services and data pipelines using C#/.NET, Python, and modern software frameworks.
- Develop solutions supporting portfolio analytics, fund performance reporting, accounting, and financial planning.
- Partner directly with business stakeholders to translate operational requirements into reliable technical solutions.
- Optimize existing workflows through application enhancements, automation, and systems integration.
- Develop and maintain database integrations across SQL Server, Snowflake, and Redis environments.
- Support testing, code reviews, continuous integration, vulnerability remediation, and production deployments.
- Collaborate across engineering and business teams to improve application performance, reliability, and maintainability.
Qualifications
- Hands-on backend software development experience with C#/.NET or Python and associated frameworks such as ASP.NET Core, FastAPI, or SQLAlchemy.
- Strong understanding of object-oriented programming, software design patterns, dependency injection, relational databases, and API development.
- Experience developing production applications using modern development practices, including source control, testing, and CI/CD.
- Familiarity with investment management, financial markets, portfolio analytics, or middle-office financial operations.
- Exposure to SQL Server, Snowflake, Redis, Docker, Kubernetes, or hybrid cloud infrastructure.
- Bachelor's degree in Computer Science or a related discipline, or equivalent programming experience, with an interest in emerging AI-assisted development tools.
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