Senior Software Engineer

Summary

Join Voleon, a leading technology company in finance, as a Senior Software Engineer. You will be developing production trading systems and data pipelines using machine learning techniques. Collaborate with finance and research teams to build a platform supporting complex trading behaviors. Design and optimize data infrastructure, develop monitoring tools, integrate new financial assets, and enhance accounting systems. Lead projects, mentor engineers, and contribute to a collaborative environment. This role requires a Bachelor's degree, 5+ years of experience, and expertise in high-performance system design.

Requirements

• Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field
• 5+ years of software engineering experience designing and building high-performance, reliable systems
• Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python
• Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration
• Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture

Responsibilities

• Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam
• Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations
• Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems
• Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs
• Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems
• Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems
• Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources
• Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge

Preferred Qualifications

• Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)
• Experience with profiling and performance optimizations on distributed systems
• Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.)
• Experience with modern data engineering technologies

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