As a Senior Software Engineer on our Back Office 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.
This role is open to remote work in the US or hybrid in our Berkeley office.
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.
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
Preferred Qualifications- Expertise in building and optimizing data pipelines (e.g. Change data capture, data modeling, data streaming, etc.)
- 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
"Friends of Voleon" Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.
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