From Sportradar’s careers page.
Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
ABOUT US:
We are looking for a Back-end developer to join Sportradar’s engineering team developing our Argos platform, Sportradar’s cloud-native, low-latency infrastructure for computer vision processing.
As a Software Engineer within Sportradar's AI unit, you will work with an experienced team of data scientists, developers, and DevOps engineers building innovative infrastructure solutions for computer vision, machine learning, and data analytics workloads.
THE CHALLENGE:
- Research, design, development, deployment, and day-to-day operations of solutions for real-time, low-latency computer vision processing, hosted in the 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, and 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 the US), including various social events and teambuilding.
- Ability to shape your own workday and career via a clearly defined professional and personal development plan.
- Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities.
- Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants.
- Global Employee Assistance Programme.
- Calm and Reulay app (managing stress, maintaining focus, improving sleep, building 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 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 — your local point of contact can provide further details.
OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Technical Interview: Meet with the Hiring Manager to discuss your background and experience, as well as team fit.
- Final Interview: Meet with the local team and take a tour of our office for a final meet-and-greet.
- Final Steps: Receive feedback and, if successful, an offer!
Qualifications
Additional Information
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!
