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Tower Research Capital

Trades financial markets with computer models

Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • A degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
  • Three to five years of professional software engineering experience.
  • Strong programming skills, preferably in Python.
  • Solid SQL skills and an understanding of relational databases.
  • Experience working with production or business-critical codebases.
  • Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing.
  • Familiarity with web application development, backend APIs, and frontend/backend integration.
  • Comfort working in Linux/Unix environments and using Git-based workflows.
  • Strong debugging and problem-solving skills across code, data, configuration, and environment issues.
  • Ability to work with ambiguous requirements, identify assumptions, ask targeted questions, and propose practical plans.
  • Strong ownership mindset and ability to drive well-scoped tasks to completion once context and direction are clear.
  • Clear communication skills, including concise status updates and early blocker reporting.
  • Ability to use AI coding tools thoughtfully while understanding, testing, and taking responsibility for the final output.

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.
  • Communicate progress, assumptions, risks, and blockers clearly and early.

Desired Qualifications

  • Experience with Vue.js or similar frontend frameworks.
  • Experience building internal tools, admin portals, dashboards, workflow applications, or reporting systems.
  • Familiarity with Docker, Kubernetes, deployment configuration, service logs, or operational troubleshooting.
  • Experience with GitLab CI/CD or similar automation systems.
  • Experience with Python web frameworks such as Django, Flask, or FastAPI.
  • Experience with database schemas, migrations, indexes, or data validation logic.
  • Experience with observability tools, metrics, dashboards, alerts, or production monitoring.
  • Interest in improving internal platforms, automating manual workflows, and reducing operational burden.

About the Company

Tower Research Capital

Trades financial markets with computer models

Tower Research Capital trades financial instruments with computer models and supplies liquidity, or ready buying and selling prices, to other market participants. Its researchers test strategies against historical data before deploying them through a platform built largely in-house. The platform combines market data, order routing and risk controls, letting traders act on signals across stocks, futures, options and currencies. It earns trading profits by taking positions for its own account, and its liquidity businesses trade directly with counterparties rather than managing their investments. Tower was founded in 1998 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$116.1M
Headquarters
New York City, New York
Founded
1998

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