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The Voleon Group

Runs machine-learning hedge funds for institutions

Senior/Staff Software Engineer - Data Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$225k - $310k /yrRemote

About the Job

Requirements

  • A bachelor's degree in Computer Science or Engineering, or equivalent experience.
  • At least 5 years of relevant software engineering experience.
  • A proven track record of software design and implementation focused 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.
  • Experience designing and implementing scalable services and APIs, highly available systems, and/or large-scale data infrastructure.
  • Experience with data storage and management technologies such as PostgreSQL, Artifactory, Ceph, or Redis.
  • Strong communication skills and the ability to explain complex ideas clearly and simply.

Responsibilities

  • Guide complex initiatives from initial requirements gathering and robust system design through deployment, evaluating dependent technologies and collaborating with stakeholders.
  • Build scalable data infrastructure and shape developer experience, including data cataloging, versioning, and lineage to support research and production workflows.
  • Provide technical guidance to engineering and research staff and foster an environment that supports teammates' growth.
  • Contribute to scaling and advancing the data infrastructure by building data-related infrastructure and tooling and helping teams improve their use of data.
  • Work with the team lead to design, scope, and deliver large-scale projects.
  • Help define the team's technical roadmap toward strategic engineering goals.
  • Participate in mentoring and developing engineers and shaping the company's engineering culture.

Desired Qualifications

  • Familiarity with cluster management and containerization technologies such as Kubernetes and Docker.
  • Familiarity with cloud storage, querying, and processing technologies such as Iceberg, BigQuery, Snowflake, DynamoDB, and Trino/Athena.
  • Experience building data platforms with a developer-experience focus, including designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users.
  • Familiarity with job scheduling and orchestration technologies such as Airflow and Slurm.

About the Company

The Voleon Group

Runs machine-learning hedge funds for institutions

The Voleon Group runs hedge funds for institutions such as pension plans and sovereign wealth funds, using machine-learning models instead of human judgment to choose every trade. It began live trading in 2008 as one of the early hedge funds to hand all of its trading decisions to machine-learning models. Those models comb through years of price and trading data for patterns that predict market moves, then trade automatically in stocks, bonds, futures, currencies and derivatives. Voleon earns management fees plus a share of the gains it makes for investors. A computer scientist and a statistician founded Voleon in 2007, and it is based in Berkeley, California, near the University of California campus.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Berkeley, CA
Founded
2007

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