We consistently top the charts as one of if not the most used Sports Betting website in the countries we operate in. With millions of weekly active users, we strive to be the best in 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 containerisation with Docker and K8S. 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, utilising your knowledge of both ecosystems.
Our Stack (we don't expect you to have all of these)
Language: Java 8+Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring CloudArchitecture: Microservices, REST API, Message QueuesDatabase: MySQL, MyBatis, ShardingSphere, MongoDBCaching: Redis (AWS ElastiCache), ElasticSearchMessage Queue: RocketMQCloud: Docker, Kubernetes, AWSMonitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch 
Responsibilities 
Owning and improving CI/CD PipelinesOwn our released applications configuration Create new environments across both test and productionBe hands on with the improvement of our monitoring and observability Maintain and build Java Libraries between the suite of microservicesMaintain and assist in the building of our Java applications for cross-region deployment and incremental code releases
Requirements
Minimum of 3+ Years within a relevant roleExperience working with Java/SpringbootStrong knowledge of configuration managementStrong knowledge of Feature Management and Feature TogglesExcellent understanding of deployment strategies and the creation of CI/CD pipelinesStrong knowledge of testing tooling experience tools such as JMeter or GoReplayStrong knowledge of cloud monitoring tools such as Grafana or Prometheus
Beneficial skills:
Knowledge of KubernetesIn-depth knowledge of Java/springboot and JVM tuning