Java Engineer - Football Squad
Role details
Job location
Tech stack
Job description
As a Java Engineer in our Football Backend Team, you'll play a key role in designing, developing, and optimizing data-intensive backend services that power live football events. Our team is responsible for managing data feeds, event-driven processing, and cloud-based infrastructure to deliver real-time insights to global football leagues and partners.
You'll work in an agile environment, collaborating with engineers across our football 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 (Spring Boot)
- Work on football-related data pipelines that power FIFA, Serie-A and UEFA operations
- Deploy and scale applications in AWS (ECS, Lambda, S3, DynamoDB, etc.)
- Work on event-driven architectures, leveraging message queues (Pulsar, Kafka, RabbitMQ, SQS, etc.)
- 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.
Requirements
Do you have experience in Terraform?, * Strong Java (preferably Java 17 or later) & Spring Boot experience
- Experience with AWS
- Familiarity with observability tools (e.g., Datadog, Prometheus, OpenTelemetry)
- Understanding of monitoring, logging, and traceability
- Ability to work efficiently in a fast-paced environment
- Experience with event-driven architectures (Kafka/Pulsar, RabbitMQ, SQS, etc.)
- Experience with microservices and distributed systems
Bonus Skills:
- Knowledge of CI/CD pipelines and automation (GitHub Actions, Terraform)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Exposure to real-time data processing and sports tech