Staff Software Engineer, Data Infrastructure

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a Staff 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.

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.

Computer Science / Engineering bachelor’s degree (or equivalent) 8+ 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) Strong communication skills and a knack for explaining complex ideas with clarity and simplicity   Preferred Qualifications Familiarity with the following strongly preferred: Cluster management and containerization technologies (e.g. Kubernetes, Docker) Cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena) Experience building data platforms with a developer experience lens —