Staff Software Engineer, Data Infrastructure

The Voleon Group is a technology company applying artificial intelligence and machine learning to real-world problems in finance. The Staff Software Engineer will scale and advance data infrastructure, build data-related tooling, lead large-scale projects, guide technical strategy, and mentor engineering and research staff.

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)
• 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
• 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)