Sports Betting Software Developer Jobs in Wisconsin

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Software Engineer

Interested in Artificial Intelligence, Computer Vision, DeepLearningand other modern technologies? Then the Automated ContentUnitwithinSportradaris the right fit for you. We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. We are on a mission to automate sports content creation - the data and video - that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey.

Ourcutting-edgetechnologies will revolutionize the way individuals interact with andparticipatein sports. Ourobjectiveis to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways.

Weseek a talented Software Engineer to join theAutomatedVideoProductionteam: a diverse, highly skilled, and enthusiasticteam,part of the broader Automated ContentUnit.

About the role

As a Software Engineer, you will play a key role in designing, developing, andmaintainingthe software solutions that power our Automated Video Production technology. You will build andoptimizethe core software—including APIs, services, tools, and databases that enable our AI-driven systems to film and live-stream high-level sporting events from all over the world without human intervention. Leveraging your software engineeringexpertiseto propose and implement software solutions, based on requirements that will help the team deliver quickly and efficiently.

Responsibilities

Design,build, test andmaintainlibraries,componentsand backend services for our Automated Video Production systems. E.g., production data analysis and event distribution,optimizevideo (and audio) encoding and distribution processes,and more

Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently

Researchnew technologiesand methodologies to address technical issues

Be an innovator and pro-actively contribute to the improvement of the software development process with hands‑on familiarity with the latest technology strategy,toolsand technologies

Contribute to the continuous improvement of existing software solutions

The challenge

Design, build, test, deploy andmaintainservices hosted in a global distributed server architecture on premises and in the cloud, that are part of a larger system

Improve the reliability,securityand efficiency of our stack

Write clean, scalable, documented, and understandable code

Participate in code review processes

Design, implement, and extend APIs

Proficiencyin Python. Experience with other languages is important

Strong experience in managing larger projects from their conception to their maturity

Experience with frameworks for web APIs (e.g., Flask), API specifications (OpenAPI,WebRTC)

Proficiencyworking on Linux systems

Excellence with version control systems andwith CI/CD pipelines for software release lifecycle

Good knowledge of containerization technologies and processes

Experience with databases (Postgresqlknowledge is a plus)

Familiarity of Cloud Service Providers (especially AWS)

Interest in hardware technologies and practical experimentation

Ability to work independently and as part of a team

Strong organizational and problem-solving skills