
Hawk-Eye Innovations · Budapest, Hungary, HU · 12 days ago
Working Location: Hybrid, 2 Days a week in the office, minimum
Join Our Team as a Senior Java Engineer at Hawk-Eye Innovations
Hi, I’m Peter Laszlo, Backend Discipline Lead and hiring manager for this role. I’m excited to invite you to apply for the Senior Java Engineer position in our Data and Platforms Value Stream at Hawk-Eye Innovations. If you're passionate about building scalable backend systems and want to work on high-impact projects for sports around the world, this could be the ideal role for you.
As a Senior Java Engineer in our team, you'll play a key role in designing, developing, and optimizing data-intensive backend services that power live events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights to global leagues and partners.
You’ll work in an agile environment, collaborating with engineers across our backend team. Given the high-profile nature of our work, we operate in a fast-moving environment where efficiency and scalability are key to success.
At Hawk-Eye, we believe in collaboration, ownership, and innovation. We strive to create an environment where engineers can contribute meaningfully, solve challenging problems, and improve their skills. Given the pace of work, we value engineers who can hit the ground running, take initiative, and contribute to mission-critical projects from day one.
Hawk-Eye is committed to fostering an inclusive and diverse workplace. We ensure all employees are treated fairly, regardless of gender, marital status, race, nationality, religion, age, disability, or union membership status. We value diversity and strive to create an environment where everyone can reach their full potential.
Apply Today!
This is a fantastic opportunity to join Hawk-Eye Innovations and make a significant impact in football technology. If you're looking for a role where you can solve real-world problems at scale, we’d love to hear from you!
Headquarters
Budapest, Hungary
Work Location
hybrid
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
full-time
Experience Level
senior-level
Application Method
Apply via Website
Salary
Not specified
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