Software Engineer

About the role

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Responsibilities

- Build, maintain, and improve internal tools, data workflows, and operational web applications.

- Develop Python-based services, automation scripts, data processing jobs, and internal utilities.

- Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions.

- Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting.

- Write and debug SQL queries used for reporting, investigation, and operational analysis.

- Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance.

- Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access.

- Maintain backend APIs and frontend interfaces for internal applications.

- Debug issues across application code, databases, APIs, logs, configuration, and deployment environments.

- Improve reliability, observability, test coverage, documentation, and maintainability of existing systems.

- Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes.