Senior/Staff Software Engineer, Data

The Voleon Group is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. As a Senior/Staff Software Engineer in the Data Engineering group, you will contribute to scaling and advancing data operations, including building data infrastructure and collaborating with various teams.

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

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)
• 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