Staff Software Engineer, Trading Platforms

Position Overview

• Location Type: Not specified
• Employment Type: Full-time
• Salary: $270,000 - $300,000 (Base salary range)

Voleon is a technology company applying state-of-the-art machine-learning techniques to real-world problems in finance. They are a multibillion-dollar asset manager with ambitious goals for the future. As a Staff Software Engineer on the Trading Platforms Engineering team, you will develop the company’s production trading systems and the data pipelines that drive their machine learning in both production and research. You’ll work closely with finance and research teams to contribute to a platform supporting diverse requirements and complex trading behaviors.

Requirements

• Education: Computer Science Degree or equivalent experience
• Experience: 7+ years of software engineering experience building high-performance systems
• Languages: Proficiency in Python, Go, and C++
• Communication & Project Management: Excellent communication and project management skills in complex technical domains
• Track Record: Demonstrated ability to mentor engineers and lead technical direction

Responsibilities

• Design & Development: Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++)
• Data Infrastructure: Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam)
• Observability & Remediation: Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)
• Integration: Integrate with new assets and markets, driving clarity on resulting requirements
• Performance Improvement: Improve the resilience and performance of trading systems
• Tooling Development: Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency
• Leadership: Lead company-spanning complex projects. Collaborate across research, legal, trading, finance operations, data, and infrastructure teams to deliver end-to-end trading systems
• Mentorship: Mentor and develop other engineers on the team, sharing practices and knowledge.

Preferred Qualifications

• Data Pipeline Expertise: Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)
• Performance Optimization: Experience with profiling and performance optimizations on distributed systems (Go / C++)
• Python Data Science Tooling: Exposure to modern Python data science tooling (pandas, polars, dask, duckdb, etc.)

Company Information

Voleon is a technology company specializing in applying machine learning to finance. They are a leading asset manager with a focus on innovation and engineering fundamentals. They encourage experimentation and collaboration between research, engineering, and finance teams.