Software Engineer, GeniusIQ
We are looking for a software engineer to work on the systems and applications that power our automated, real-time GeniusIQ products. You will collaborate with Computer Vision and AI/Machine Learning teams to take models from research to production, ensuring they run reliably and efficiently in live environments. This includes building the services, orchestration layers, configuration tooling, monitoring and alerting systems, and internal operator interfaces required to manage, visualize, correct/enrich, and scale our automated data pipelines across thousands of global sporting events each year.
- Design and develop systems and applications that power our automated, real-time GeniusIQ products including tracking data, analytics and event feeds, video products, and officiating technologies.
- Own and implement features end-to-end across the stack, taking responsibility for the system lifecycle from configuring and managing on-premise hardware through reliable, real-time delivery of critical products to customers.
- Lead technical discussions, drive architectural decisions, and identify opportunities to improve scalability, automation, and operational efficiency as we expand across new leagues and sports globally.
- Design and maintain the foundational GeniusIQ platform that powers our live systems and supports development & iteration by other engineering teams building on this platform.
- Design and improve testing and release strategies for complex, distributed systems - including backend services, web applications, data pipelines, messaging and streaming services, real-time model inference systems, and on-site hardware components.
- Monitor, analyze, and continuously improve system performance, reliability, and scalability.
- Build solutions for simulating and replaying live inputs, system and metadata validation, automated evaluation and regression testing, and observability and alerting.
- Design and build mechanisms for enabling human or agent-in-the-loop workflows that validate, correct, and enhance outputs from the system.
- Experience operating distributed systems. (required)
- Experience building real-time, interactive web frontends. (required)
- Experience designing APIs and integrating services. (required)
- Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations). (required)
- Bachelor’s degree in Computer Science or equivalent experience. (required)
- Rust, Elixir, TypeScript, Go, C++, Python (nice-to-have)
- Postgres, relational databases (nice-to-have)
- React, Three.js, HTML5 Video, and/or Canvas (nice-to-have)
- REST, GraphQL, and gRPC APIs (nice-to-have)
- Systems that run inference with Computer Vision or AI/Machine Learning models (nice-to-have)
- AWS, Temporal.io (nice-to-have)
- Docker, Kubernetes (nice-to-have)
- Pulsar, RabbitMQ (nice-to-have)
- WebAssembly (nice-to-have)
- The base salary range for this role is $160,000 - $180,000.
- This role will also be eligible to take part in Genius Sports Group's benefits plan.
- As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
Genius Sports is a sports data and technology company that supplies official data, streaming, integrity and advertising services to sports leagues, sportsbooks and media companies. Founded in 2001 and headquartered in London, with a major office in New York and others worldwide, it is the official data partner of organisations including the NFL, English Premier League and FIBA. The company provides the technology that connects sports, betting and media businesses. Genius Sports is listed on the New York Stock Exchange.
