Senior Backend Engineer: Low-Latency Microservices
Summary
Designs, builds, and optimizes low-latency microservices for predictive sports analytics APIs using Node.js and Python.
Swish Analytics, located in San Francisco, is seeking a backend engineer to design, build, and optimize core API services. The ideal candidate has over 3 years of API development experience and is passionate about predictive sports analytics data.
This role involves building backend applications and collaborating with cross-functional teams. A Bachelor’s degree in Computer Science or equivalent experience is required, along with proficiency in languages like NodeJS and Python.
The position offers a competitive salary range of $150,000 - $190,000.