Novig Software Engineer at Novig working across the full stack to build next-generation sports betting infrastructure. Responsible for real-time data pipelines, API development for algorithmic traders, and contributing to architecture decisions.
Responsibilities
The infrastructure behind sports trading is broken and this role gives you the opportunity to fix it. Working across the stack, you'll borrow from the world of modern financial exchanges to build markets that are actually transparent and efficient, while keeping the experience seamless for the people using it. You'll own real-time data pipelines, shape the API that algorithmic traders live in, and have a real say in architecture decisions. One day you're deep in systems-level code, the next you're shipping a frontend component with Design. If sports, markets, and genuinely hard engineering problems get you out of bed in the morning, read on.
Qualification
Scale real-time data ingestionBring a passion for sports
Required
Excited to work across the full stack to build the next generation of sports betting infrastructure
Apply technologies used in modern financial exchanges to enforce transparent, efficient market practices while delivering a seamless user experience
Play a key role shaping both the market engine and the interface through which users engage with it
Build and maintain a developer-first API experience for algorithmic trading and power users
Expand product features by extending modular backend services and contributing to frontend components
Scale real-time data ingestion, processing, and distribution pipelines
Collaborate closely with Design and Product teams to build performant, intuitive user interfaces
Contribute to architecture and system design decisions across the stack
Improve observability and reliability across backend and frontend systems
Bring a passion for sports, markets, and technology, with curiosity about complex computer science challenges
Hold a Bachelor’s or Master’s degree in Computer Science or a related technical field
Proficient in a systems programming language (e.g., Rust, Go, C++) and at least one modern frontend framework (e.g., React, Vue)
