The Voleon Group

Software Engineer, Data Infrastructure

The Voleon Group$120K — $160K *
US-Anywhere
+ 2 other locationsRemote
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or Engineering (or equivalent)
  • 3+ years of relevant software engineering experience
  • Demonstrated experience in software design focusing on correctness, robustness, efficiency, and scale
  • Experience with large codebases and building maintainable software
  • Proficiency in a modern programming language (e.g., Python, Go, Java, C++)
  • Hands-on experience in a Linux/UNIX environment
  • Experience in developing scalable services and APIs or large-scale data infrastructure
  • Strong communication skills for articulating complex ideas

Responsibilities

  • Guide initiatives from requirements gathering to deployment while collaborating with stakeholders
  • Build scalable data infrastructure to enhance developer experience and support workflows
  • Provide technical guidance and mentorship to engineers and researchers
  • Collaborate closely with various teams to improve data usage
  • Define and drive the team's technical roadmap to meet strategic engineering goals

Benefits

  • Collaborative work environment that values creative thinking and experimentation
  • Focus on mentorship and development of engineering talent
  • Emphasis on a kind, friendly, and down-to-earth culture
  • Opportunity to work closely with machine learning researchers
  • Engagement with complex problems and innovative engineering solutions
Full Job Description
As a Software Engineer on our Data Infrastructure team, you will contribute to scaling and advancing our entire data infrastructure. This includes building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture.

We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You'll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.

Responsibilities
  • Guide complex initiatives from initial requirements gathering and robust system design to deployment, effectively evaluating dependent technologies and collaborating closely with stakeholders
  • Build scalable data infrastructure and shape the developer experience, tackling projects such as owning data cataloging, versioning, and lineage to support seamless research and production workflows
  • Provide technical guidance to both engineering and research staff, fostering a supportive environment that accelerates the growth of your teammates


Requirements
  • Computer Science / Engineering bachelor's degree (or equivalent)
  • 3+ 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
  • Strong communication skills and a knack for explaining complex ideas with clarity and simplicity


Preferred Qualifications
  • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
  • Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)
  • Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
  • Experience building data platforms with a developer experience lens - designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users
"Friends of Voleon" Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 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 make sure to review the Voleon Referral Bonus Program.

About The Voleon Group

The Voleon Group is a quantitative investment management firm that uses advanced mathematical and statistical techniques to identify and exploit market inefficiencies. The company was founded in 2007 by Michael Kharitonov and Jon McAuliffe and is based in San Francisco, California. Voleon's investment strategies are based on machine learning and artificial intelligence, and the company has a team of over 200 researchers and engineers working to develop and improve its algorithms. Voleon manages several funds, including a long/short equity fund and a futures fund, and has a strong track record of performance. The company is known for its rigorous approach to research and its commitment to transparency and ethical behavior.
Learn more about The Voleon Group
Size
200 employees
Industry
Founded
2007

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