Software Engineer, Research - Cumberland Systematic

Job Description

Design, build, and maintain software and infrastructure for quantitative research and live trading, including scalable time-series data pipelines and integrations with exchanges, financial data providers, and blockchain protocols. Partner with quantitative researchers to move work from feature generation to production, ensure system reliability through testing and documentation, and provide on-call support for global operations.

Requirements: Requires at least three years of professional Python experience, practical knowledge of major blockchain architectures and client configurations, and experience scaling large, evolving time-series databases. Candidates should independently deliver technical projects from business requirements and communicate effectively with stakeholders; quantitative trading, open-source crypto, blockchain node, functional programming, machine learning, and C++ experience are preferred.

Key Skills: Python, Blockchain Architecture, Time-Series Databases, Data Engineering, System Architecture, Quantitative Research Support, Trading Systems, Exchange Integrations, Blockchain Node Infrastructure, Testing, Technical Project Delivery, Communication, Functional Programming, Machine Learning Lifecycles, C++

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, 401(k) With Employer Match, Disability Insurance, Life Insurance, Annual Discretionary Performance-Based Bonus