About Us

We are looking for a Software Engineer to join Sportradar’s engineering team developing our Argos platform, Sportradar’s cloud-native, low latency infrastructure for computer vision processing.  

Computer vision is rapidly becoming one of the core technologies powering sports data collection across Sportradar’s products for sports media, sports betting and coaching.

As a Software Engineer within Sportradar's AI unit, you will work with an experienced team of data scientists, developers and dev-ops engineers building innovative infrastructure solutions for computer vision, machine learning and data analytics workloads. 

Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts. 

THE CHALLENGE: 

• Research, design, development, deployment and day-to-day operations of solutions for real-time, low latency computer vision processing, hosted in AWS cloud.
• Collaborate and support our team of computer vision researchers with the integration and productization of computer vision models.
• Contribute to the evolution of our technology stack and technical architectures powering computer vision and AI workloads, as part of a growing team of talented developers, data scientists, data engineers already dedicated to this mission.

About You

• Knowledge of programming in Python with demonstrable hands-on experience developing production grade solutions.
• Hands-on experience with containers and container orchestration frameworks (Docker, Kubernetes).
• Must be comfortable with modern software development methodologies such as agile development, git, CI/CD, code review, etc.
• Must be comfortable with using AI coding tools and agentic technologies.
• Bonus: Experience with development in Golang and/or Java.
• Bonus: Demonstrated experience with productization of CV/ML models.
• Bonus: Understanding of machine learning / deep learning concepts and some hands on experience with machine learning or computer vision using deep learning frameworks (e.g., PyTorch, Keras, Tensorflow, MXNet).
• Bonus: DevOps experience (hands-on experience with the design, set-up and administration of infrastructure) and with cloud services like AWS/Azure.
• Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable.
• Fluent in English (written and spoken).
• Autonomous, rigorous, creative and a team player.

OUR OFFER: 

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. 
• Flexibility to manage your workday and tasks with autonomy. 
• A balance of structure and autonomy to tackle your daily tasks. 
• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 
• Global Employee Assistance Programme. 
• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 
• Online training videos. 
• Flexible working hours. 

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. 

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit. 
• Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. 
• Finals Steps: Receive feedback and, if successful, an offer!