Senior Java Engineer - Data Platform Framework

As a Senior Java Engineer in our Data Platform Framework Squad, you'll play a key role in developing and optimizing data-intensive backend services that power live sports events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights internally and to global sports leagues and partners.

You'll work in an agile environment, collaborating with engineers across our entire 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.

What We Value

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., * Develop, optimize, and maintain backend services using Java, leveraging internal framework components

• Be a key contributor in the architectural decisions which help us build the framework.
• Work on data pipelines that power operations for various different sports like American football or ice hockey
• Deploy and scale applications in AWS (Lambda, S3, Apache Flink, etc.)
• Work on event-driven architectures
• Collaborate with other engineers in the team to meet high-impact project deadlines
• Ensure system reliability and performance in high-traffic, real-time environments, 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.

Do you have experience in Terraform?, * Strong Java (preferably Java 11 or later) experience

• Experience with AWS
• Familiarity with observability tools (e.g., Datadog, Prometheus, OpenTelemetry)
• Previous experience with designing and scaling high throughput, low latency distributed systems
• Understanding of monitoring, logging, and traceability
• Experience with event-driven architectures (Kafka, RabbitMQ, SQS, etc.)
• Ability to work efficiently in a fast-paced environment

Bonus Skills:

• Experience with stream-processing concepts (Flink, Spark, Kafka Streams)
• Knowledge of CI/CD pipelines and Infrastructure as Code (GitHub Actions, Terraform)
• Exposure to real-time data processing and sports tech
• Experience and interest in line management

Pulled from the full job description

• Annual leave
• Employee discount
• Company pension