Senior/Staff Software Engineer, Data Engineering

The Voleon Group is a technology company applying artificial intelligence and machine learning to real-world problems in finance. The Senior/Staff Software Engineer will scale and advance the company’s data operations by building data processing, ingestion, distribution, and infrastructure systems, leading complex projects, and supporting research and trading operations. The role also provides technical guidance and mentorship to engineering and research staff.

Responsibilities:

• Engage and collaborate in diverse software development work, including design and implementation of data processing technologies, sourcing and delivery systems and pipelines, development of data related tools and libraries, and more
• Support our trading operations and promote our research effort through reliable delivery of high-quality data
• Build scalable and robust ingestion 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 your teammates 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, highly-available systems, and/or robust data infrastructure
• Strong communication skills and a knack for explaining complex ideas with clarity and simplicity
• Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)
• Cluster management and containerization technologies (e.g. Kubernetes, Docker)
• Job scheduling and orchestration technologies (e.g. Airflow, Slurm)