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 on our Data Infrastructure group, 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) - 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) - 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 — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users - Job scheduling and orchestration technologies (e.g. Airflow, Slurm) Compensation The base salary range for this position is $225,000 to $310,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “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 $15,000 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. Equal Opportunity Employer 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. #LI-MB1

• Identify and integrate data sources needed to support analytical and business questions • Design and maintain automated data pipelines and repositories • Ensure data quality, update frequency, and reliability • Support analysts and stakeholders by making data accessible and actionable • Lead or oversee data engineering activities and best practices • Support enterprise-scale data architecture initiatives

• Monitorar e otimizar pipelines de dados, workflows e rotinas automatizadas em ambiente de produção; • Atuar na resolução de incidentes (inclusive no período noturno), garantindo rápida identificação, mitigação e automação de respostas; • Analisar logs, métricas e eventos para investigação de causa raiz, aplicando técnicas de análise avançada e, quando possível, modelos preditivos; • Desenvolver e evoluir mecanismos de automação para correção de falhas, reprocessamentos e recuperação de pipelines; • Implementar melhorias contínuas em pipelines com foco em eficiência, escalabilidade e confiabilidade; • Apoiar iniciativas de Machine Learning e IA, incluindo preparação de dados, monitoramento de modelos e sustentação de pipelines de inferência; • Documentar procedimentos técnicos, incidentes e playbooks automatizados.

• Lead the design and implementation of scalable, robust data architectures supporting enterprise-level data solutions • Design, build, and maintain complex ETL/ELT pipelines integrating data from diverse sources (APIs, cloud platforms, databases) • Own and deliver high-impact, complex data engineering projects end-to-end • Provide technical leadership and mentorship to junior and mid-level data engineers • Establish and enforce data engineering best practices, standards, and governance • Collaborate with cross-functional teams and client engineering teams to define data integration strategies and requirements • Monitor, troubleshoot, and optimize data pipeline performance, scalability, and reliability • Drive improvements in data quality, observability, and operational efficiency • Ensure data security, privacy, and compliance through proper architecture and Azure policies