
Artificial Intelligence • Sports • Technology
Kognia Sports Intelligence is an innovative technology company that enhances sports performance by providing critical insights derived from a single video input. Utilizing advanced techniques in computer vision and machine learning, Kognia automatically identifies and analyzes tactical elements during gameplay, allowing coaches and technical teams to focus on strategy and make informed decisions. With features for tactical overlays and data tracking, Kognia transforms video analysis into a streamlined process, enhancing both individual and team performance.
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
⚽ Sports
April 17

Artificial Intelligence • Sports • Technology
Kognia Sports Intelligence is an innovative technology company that enhances sports performance by providing critical insights derived from a single video input. Utilizing advanced techniques in computer vision and machine learning, Kognia automatically identifies and analyzes tactical elements during gameplay, allowing coaches and technical teams to focus on strategy and make informed decisions. With features for tactical overlays and data tracking, Kognia transforms video analysis into a streamlined process, enhancing both individual and team performance.
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
⚽ Sports
• Looking for a strong Backend Engineer to join Kognia's team. • Help deliver football insights and shape the future of our technology. • Kognia Sports Intelligence is focused on football performance analysis. • The Product Team builds and maintains applications powered by Kognia's data and analysis.
• Strong experience in Spring framework (Spring Boot, MVC). • Strong experience in JVM languages and tooling. • Database experience, and working with abstraction layers in JVM (e.g. JDBC). • Hands-on experience with best practices in testing and developing with clean code, regardless of stack. • Ability to adapt to a fast-paced, changing agile environment. • Excellent team player with strong verbal and written communication skills, in English. • Experience with Spring Boot in Kotlin specifically. • Knowledge of event-driven architecture -- Kafka and associated ecosystem (e.g. KStreams). • Interest/familiarity with software design patterns, software architecture, domain-driven design, etc. • DevOps mindset, comfortable with CI/CD, cloud environments, and Kubernetes. • Other useful stacks for miscellaneous contributions: JavaScript (TypeScript, React) and Python.
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