Software Engineer – AI Video Production Platform

Sportradar

Mont-Saint-Guibert

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 12 jours

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Résumé du poste

Sportradar is seeking a Software Engineer to join the Automated Video Production team. You will design, develop, and maintain software powering AI-driven live sports production, building APIs, services, and databases for distributed systems across on-prem and cloud environments.

You will work with Python and web API frameworks, contribute to improving tooling and deployment pipelines, and collaborate with a cross-functional team to advance automated content solutions for fans, teams, and

Qualifications

  • Proficiency in Python; experience with other languages is important.
  • Experience building web APIs with frameworks like Flask and API specifications (OpenAPI, WebRTC).
  • Familiarity with CI/CD pipelines, version control systems, and containerization.

Responsabilités

  • Design, build, test and maintain libraries, components and backend services for Automated Video Production systems.
  • Develop APIs, services, tools, and databases enabling AI-driven live video production.
  • Analyze business requirements and translate them into concrete software components.
  • Research new technologies to address technical challenges and improve the software stack.
  • Contribute to continuous improvement of software development processes and code quality.
  • Design, deploy and maintain services in global distributed architectures on premises and in the cloud.

Connaissances

Python
Web APIs (Flask)
OpenAPI
WebRTC
CI/CD pipelines
API design
PostgreSQL
AWS
Containerization
Distributed systems

Outils

Git
Docker

Description du poste

Sportradar is seeking a Software Engineer to join the Automated Video Production team. You will design, develop, and maintain software powering AI-driven live sports production, building APIs, services, and databases for distributed systems across on-prem and cloud environments.

You will work with Python and web API frameworks, contribute to improving tooling and deployment pipelines, and collaborate with a cross-functional team to advance automated content solutions for fans, teams, and

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