Duties:- Develop high-performance and low-latency products to verify results and provide reliability for in-game play
- Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure
- Design core, backend software components, and code primarily using Rust
- Building internal and external tools to support Swish's live trading platform
- Source origins of data inaccuracies through data pipeline dependencies and python code base
- Use extensive experience to build, test, debug, and deploy production-grade components
- Proactively improve our Rust and Python codebase
- Production model feature deep dives to explain project market lines
Requirements:- Bachelor's Degree in Computer Science, Data Science or similar major
- Minimum of 1 year of software engineering experience with Rust; 3 preferred
- Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems
- Data Extraction, Wrangling and Analysis in Python
- Strong SQL querying skills
- Ability to work independently and take initiative
Preferred:- Experience with Apache Kafka and comparable systems
- Exposure to the data science process and tech stack
- Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
Base salary: Starting at $170,000 base
Department Engineering & Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote
