Staff Software Engineer

Summary

Join Voleon, a leading technology company in finance, as a Staff Software Engineer. You will design and develop real-time distributed trading systems, build and optimize data infrastructure, and integrate with new assets and markets. Collaborate with finance and research teams to support complex trading behaviors. This role requires strong experience in high-performance system development and leadership skills. You will mentor other engineers and contribute to a collaborative environment focused on innovation. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• Computer Science Degree or equivalent experience
• 7+ years of software engineering experience building high-performance systems
• Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
• Excellent communication and project management skills in complex technical domains
• Track record mentoring engineers and leading technical direction

Responsibilities

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

Preferred Qualifications

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

Benefits

• Medical, dental, and vision coverage
• Life and AD&D insurance
• 20 days of paid time off
• 9 sick days
• A 401(k) plan with a company match