Staff Software Engineer, Data Engineering

Voleon is a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. We have led our industry for over a decade and worked at the frontier of applying machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

As a Staff Software Engineer on our Data Engineering team, 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 Product Owner for Data Engineering to design, scope, and deliver large-scale projects within the team. You will collaborate closely with a diverse group of engineers, directly impacting the team's productivity and successful delivery. You will help define the team's technical roadmap toward achieving strategic-level engineering goals. You'll participate in the mentorship and development of other engineers on the team, as well as shaping our company's engineering culture.

Your Team

We look for brilliant people who are passionate about solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your team will collaborate closely with top machine learning researchers.

Responsibilities

• Engage and collaborate in diverse software development work, including designing and implementing distributed data processing systems, maintenance and deployment of production workflows, tool development, and more
• Support our trading operations and promote our research effort through reliable and timely delivery of high-quality data
• Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines
• Lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with collaborators and teammates
• Provide technical guidance to engineering and research staff
• Mentor and grow individual contributors to continuously up-level the team

Requirements

• Computer Science / Engineering degree or equivalent experience
• 5+ years of software engineering experience
• Proven track record of software design and implementation with a focus on correctness, robustness, efficiency, and scale
• 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 job scheduling and orchestration technologies (e.g., Airflow, Slurm)
• Familiarity with cloud-based data storage, querying, and processing technologies
• Work with large codebases and experience building modular, extensible, and maintainable software
• Strong communication skills and a proven ability to explain complex ideas with clarity and simplicity