Responsibilities
- Help design, implement, and maintain foundational services, frameworks, and libraries for data and compute management
- Work in cooperation with multiple teams to expand and mature our cloud presence
- Develop and enforce company-wide standards related to code quality, code organization, and codebase management
- Work with DevOps to maintain our CI/CD pipelines and ensure that developers can build, test, and deploy changes in a fast and high-quality manner
- Leverage telemetry toolkits to track core performance and reliability metrics of the services we own. Help fulfill rigorous SLAs and performance guarantees
- Help the company survey, evaluate, and adopt major new technologies. Design, coordinate, and execute company-wide adoption plans
- Lead complex multi-team projects. Collaborate across DevOps, SysOps, Engineering, and Research teams to deliver a cohesive platform across research and production
- 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
- Experience with ML research platforms and associated frameworks for data processing, batch computing, and research (e.g., Apache Airflow, Kubeflow, Slurm, AWS/GCP Batch, Spark, Dask)
- Expertise in CI/CD, build systems, and best practices for large codebase management (Bazel, Jenkins, Github Actions)
- Exposure to cloud platforms, cloud-native architectures, and tools like Infrastructure-as-Code for managing cloud infrastructure (Terraform, Pulumi, CloudFormation)
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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.
