Staff Software Engineer, Securities Engineering

Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

As a Staff Software Engineer on our Securities Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.

Your Team

We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.

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

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

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)