Senior/Staff Software Engineer, Data

The Voleon Group•Berkeley, CA

32d•$225,000 - $310,000

About The Position

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. Your Team As a Senior/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, 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. Youâll 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.

Requirements

Computer Science / Engineering bachelorâs 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)

Nice To Haves

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

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