Genius Sports Group Limited
21/06/2026
Full time
London, England, United Kingdom Technology Senior Software Engineer (.NET) 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 Role You will join one of our established high performing teams within the Betting division, as we invest in our core and future Betting products. You will be focusing on the delivery of technical and product focused initiatives to expand and scale up our industry's leading Sportsbook and Risk Management products. One example is our Advanced Risk team, who were set up to challenge conventional wisdom about risk management for sports betting operators. Using new measures of liability that take account of correlations between different markets on an event, and by monitoring betting patterns from the moment an event is opened for betting, we apply margins asymmetrically in a way that helps operators to make higher profit margins, reduce volatility and improve customer experience with greater uptime and fewer rejected bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. How you will work Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high performing teams. We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team's domain. If you are looking to tackle hard problems with smart solutions, collaborate with astute engineers and deliver high calibre code with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you. As a Senior Software Engineer 1 (SR1) you and your team will build highly distributed, real time, dynamically scaling systems using modern CI/CD pipelines & cloud infrastructure. You will be responsible for innovating, architecting, delivering & maintaining an industry revolutionising product. You will lead execution of multi sprint features or systems with measurable business impact. We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritises the principles of Agile delivery and continuous improvement. You will have a Data driven, evidence based mentality, comfortable with the principles of continuous experimentation and validation. What skills do you have? Expert level knowledge of at least one object oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) Flexibility to work on all areas of the service stack, front end, back end, infrastructure, etc. Strong understanding of the principles of good software design. Familiarity with core concepts such as information hiding, abstraction, module design, cohesion and coupling. Strong software architecture knowledge, including architectural patterns and how to apply them to highly scalable, fault tolerant, observable microservices and systems. Detailed knowledge of testing methodology (TDD) and designing high quality testing suites resilient to changes in implementation. Experience with source control, continuous integration, pipeline design, containerised workloads and infrastructure as code. Experience in messaging and asynchronous communication technologies (RabbitMQ, Pulsar) Understanding of Data Structures, Databases and Caching Technologies Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. Lead conversations that drive alignment and uncover edge cases others might miss. Experience mentoring engineers both within and outside the immediate team. It is advantageous for you to have knowledge of the following: Expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications ("AWS") Front end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Experience in building production grade software with Agentic AI What we expect from our co workers Curiosity and strong desire to learn and improve. Social skills, being able to act as a facilitator, can balance enabling others with individual contributions. Time management and asynchronous communication skills relevant for a remote first engineering organization. Enthusiasm and ability to work collaboratively within a team. Excellent spoken and written English. Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement. 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. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by any of the data you include. This also means that if you choose to disclose a disability the Talent Acquisition team will not be personally identifiable to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.