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Sportradar is the world's leading sports technology company, creating immersive experiences at the intersection of sports, betting, and entertainment. Within the iGaming (Playradar) division, you will build the next generation of gaming experiences across Casino Games, Virtual Sports, Live Betting Products, 24/7 Experiences, and innovative gaming concepts inspired by sports.
You will design, implement, and evolve backend services and game logic that support high-quality, reliable, and scalable gaming products. You'll translate product and game design requirements into robust technical solutions, providing constructive feedback and asking the right questions to improve outcomes. Your focus will be on building clean, maintainable, and well-tested software that minimizes defects, supports efficient operations, and enables future product growth. You will take ownership of technical decisions within your area, actively suggest improvements, and contribute to planning, architecture discussions, and retrospectives.
You will collaborate closely with experienced engineers, designers, and product leaders, contribute to key technical and creative decisions, and help build scalable backend systems that power engaging game experiences across the growing portfolio. The role offers the opportunity to work independently and take ownership of features from technical design through to production, while also mentoring less experienced engineers and supporting strong engineering practices across the team.
The company operates on a fully on-site model with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location.
REQUIREMENTS:
- Strong professional experience in software engineering with a focus on backend development and production-grade systems
- Strong experience with Java and hands-on experience with Spring Boot, including REST APIs, configuration, and security fundamentals
- Good understanding of object-oriented design, clean code, and software design principles such as SOLID
- Experience designing, building, and maintaining backend services in production environments
- Proficiency working with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB), including schema design, efficient queries, and indexing
- Experience implementing domain logic, business rules, or game-related mechanics in scalable systems
- Familiarity with Git and modern development workflows, including code reviews and pull requests
- Knowledge of messaging and event-driven systems such as Kafka, RabbitMQ, or similar technologies
- Practical experience using Docker, including building images, supporting local development, and working with containerized services
- Familiarity with CI/CD pipelines and DevOps practices
- Experience writing unit, integration, and automated tests to ensure reliability and maintainability
- Ability to work independently and take ownership of features from technical design through to production
- Strong problem-solving mindset, attention to detail, and ability to balance quality, speed, and maintainability
- Ability to communicate clearly with technical and non-technical stakeholders
- Willingness to mentor less experienced engineers and support strong engineering practices across the team
- Comfortable working in an Agile/Scrum environment
- Proactive attitude and continuous learning mindset
NICE TO HAVE:
- Experience in game development, casino games, virtual sports, betting products, or other real-time/high-availability entertainment systems
- Exposure to Kubernetes, including deployment concepts, Helm, scaling, and troubleshooting
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience making architectural and technical decisions for scalable, maintainable systems
- Ability to design systems that support performance, reliability, observability, and long-term maintainability
- Leading by example in code quality, reviews, testing discipline, and engineering best practices
- Supporting the team with technical guidance, mentoring, and pragmatic decision-making
- Practical experience using AI tools to support software development
- Ability to critically evaluate AI-generated code and ensure correctness, security, and maintainability
- Understanding of best practices and limitations of AI-assisted development
- Comfortable integrating AI tools into day-to-day engineering workflows to improve productivity and quality
