Responsibilities
- Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more
- Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data
- Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines
- Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates.
- Provide technical guidance to engineering and research staff
- Provide mentorship and support to help grow other team members and up-level the team
Requirements
- Computer Science / Engineering bachelor’s degree (or equivalent)
- 5+ years of relevant software engineering experience
- Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
- Experience working with large codebases and building modular, extensible, and maintainable software
- Expertise in a modern programming language, such as Python, Go, Java or C++
- Hands-on experience developing in a Linux/UNIX environment
- Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure
- Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)
Preferred Qualifications
- Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
- Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
- Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)
- Strong communication skills and a knack for explaining complex ideas with clarity and simplicity
Similar Jobs
What We Do
Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning. The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
