Senior Software Engineer

Summary

Join Voleon, a leading technology company in finance, as a Senior Software Engineer. You will design and develop real-time trading systems, build data pipelines for machine learning, and optimize large-scale data infrastructure. Collaborate with finance and research teams to support diverse requirements and complex trading behaviors. This role requires strong experience in high-performance system development and leadership skills. You will mentor other engineers and lead complex projects across various teams. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• Computer Science Degree or equivalent experience
• 5+ 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