Automotive Engineer à Grande-Bretagne

We consistently top the charts as one of, if not the most used Sports Betting websites in the countries we operate in. With millions of weekly active users, we strive to be the best in the industry for our users.

Sporty's sites are some of the most popular on the internet, consistently staying in Alexa's list of top websites for the countries they operate in.

In this role, you’ll be responsible for developing microservices in a distributed deployment environment with an emphasis on containerization with Docker and Kubernetes. You won’t just be writing simple CRUD applications, but instead will be working on the core logic of complex systems that are accessed millions of times a day. We wrote our system from scratch about 3 years ago, so you’ll be working with the latest technology and won’t have to worry about decades-old legacy code.

As a platform engineer, you will be the bridge between our backend engineers and our DevOps team, utilizing your knowledge of both ecosystems.

Our Stack (we don't expect you to have all of these):

1. Language: Java 8+
2. Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
3. Architecture: Microservices, REST API, Message Queues
4. Database: MySQL, MyBatis, ShardingSphere, MongoDB
5. Caching: Redis (AWS ElastiCache), ElasticSearch
6. Message Queue: RocketMQ
7. Cloud: Docker, Kubernetes, AWS
8. Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch

1. Owning and improving CI/CD Pipelines
2. Own our released applications configuration
3. Create new environments across both test and production
4. Be hands-on with the improvement of our monitoring and observability
5. Maintain and build Java Libraries between the suite of microservices
6. Maintain and assist in the building of our Java applications for cross-region deployment and incremental code releases

1. Minimum of 3+ Years within a relevant role
2. Experience working with Java/Spring Boot
3. Strong knowledge of configuration management
4. Strong knowledge of Feature Management and Feature Toggles
5. Excellent understanding of deployment strategies and the creation of CI/CD pipelines
6. Strong knowledge of testing tooling experience tools such as JMeter or GoReplay
7. Strong knowledge of cloud monitoring tools such as Grafana or Prometheus

1. Knowledge of Kubernetes
2. In-depth knowledge of Java/Spring Boot and JVM tuning