Senior Software Developer (Equities Investment Technology)

A leading investment-management organization is seeking a Senior Software Developer to join a small, front-office-aligned Equities Technology team.

This hands-on engineer will build and scale applications supporting portfolio management, investment research, trading, and analytics. The position offers broad ownership across architecture, development, deployment, data engineering, performance optimization, and production support.

The team is also expanding its use of generative AI and agentic technologies to improve investment research, workflow automation, and decision-making. AI experience is valuable, but the foundation of the role remains strong backend engineering, architecture, data, and investment-technology expertise.

Responsibilities:

• Architect and develop scalable applications supporting investment and trading workflows
• Build technology used directly by portfolio managers and research professionals
• Own solutions throughout the lifecycle from design through production support
• Develop high-performance backend services and data-intensive applications
• Translate investment and research requirements into technical architecture
• Design and enhance ETL pipelines, data models, and data workflows
• Optimize SQL, databases, and cloud data-platform performance
• Diagnose application, database, pipeline, and system bottlenecks
• Improve scalability, reliability, observability, and maintainability
• Support order-management and trade-lifecycle applications
• Partner directly with investment, research, trading, data, and engineering stakeholders
• Contribute to architecture reviews and technical-design decisions
• Implement practical LLM, RAG, and agentic-AI capabilities where they improve investment workflows
• Troubleshoot production issues and drive root-cause resolution

Role Requirements:

• Approximately five to ten years of professional software-development experience
• Strong backend engineering experience with Python, C++, or Java
• Demonstrated application architecture and system-design experience
• Experience building scalable and performance-sensitive systems
• Strong SQL, ETL, and data-modeling knowledge
• Strong database and data-platform experience
• Buy-side, capital-markets, or investment-technology experience
• Understanding of Order Management Systems and the trade lifecycle
• Experience working directly with front-office or investment stakeholders
• Experience diagnosing complex production and performance issues
• Full lifecycle ownership from architecture through production support
• Strong communication and requirements-translation skills
• Ability to work onsite in New York City two days per week

Nice to Have:

• Python as a primary production language
• Equities investment-workflow experience
• Snowflake development and performance optimization
• AWS or Azure
• Kubernetes or OpenShift
• Distributed systems
• CI/CD and observability
• Generative AI or LLM application development
• RAG
• Agentic-AI frameworks and orchestration
• AI-enabled investment or research workflow automation