WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You’ll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At WSC Sports, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that’s just the beginning of what WSC Sports has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.

What you’ll do:

• Lead the analysis, design, development, and delivery of our core sports products.
• Design, develop, and maintain robust backend services and APIs.
• Uphold high coding standards and promote best practices across the backend team.
• Contribute to the system design, architecture, and scaling of the group's solutions.
• Collaborate closely with team members and continuously improve your technical skills.
  
  

Requirements:

• Education: B.Sc. in Computer Science or a related technical field (or equivalent military/practical experience).
• Experience: 3+ years of hands-on backend development experience.
• Core Tech: Deep understanding of Object-Oriented Programming (OOP) principles.
• Architecture: Practical experience working with microservices architecture.
• AI Integration: Experience with utilizing and implementing GenAI/AI tools in your day-to-day development workflow.
• Soft Skills: Strong logical reasoning, excellent communication skills, a collaborative spirit, and the ability to thrive under shifting priorities.
  
  

Nice to Have:

• Experience with C# / .NET.
• Hands-on knowledge of Azure cloud services.
• Experience with databases like SQL and/or MongoDB.
• Familiarity with messaging systems such as Kafka or Azure Service Bus.