By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com
The Role – Senior Software Engineer
We are looking for a senior 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.
What You'll Do
- 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.
What You’ll Bring:
- Experience operating distributed systems.
- Experience building real-time, interactive web frontends.
- Experience designing APIs and integrating services.
- Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations).
- Bachelor’s degree in Computer Science or equivalent experience.
It’ll be a bonus if you know:
- Rust, Elixir, TypeScript, Go, C++, Python
- Postgres, relational databases
- React, Three.js, HTML5 Video, and/or Canvas
- REST, GraphQL, and gRPC APIs
- Systems that run inference with Computer Vision or AI/Machine Learning models
- AWS, Temporal.io
- Docker, Kubernetes
- Pulsar, RabbitMQ
- WebAssembly
The base salary range for this role is $175,000 - $220,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
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. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.
One team, being brave, driving change
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
Genius Sports Los Angeles, California, USA Office
In Los Angeles, we build unique and innovative solutions through unparalleled capabilities in machine understanding of sports.
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