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 containerisation using Docker and Kubernetes. You won’t just be writing simple CRUD applications but working on the core logic of complex systems accessed millions of times a day. Our system was built from scratch about 3 years ago, so you'll work with the latest technology and avoid legacy code.
As a platform engineer, you will bridge our backend engineers and DevOps team, leveraging your knowledge of both ecosystems.
Our Stack (not all are expected to be known)
* Language: Java 8+
* Frameworks: Spring Boot (Tomcat, Netty), Spring Data, Spring Cloud
* Architecture: Microservices, REST API, Message Queues
* Database: MySQL, MyBatis, ShardingSphere, MongoDB
* Caching: Redis (AWS ElastiCache), ElasticSearch
* Message Queue: RocketMQ
* Cloud: Docker, Kubernetes, AWS
* Monitoring: Grafana, Prometheus, Loki, Tempo, AWS CloudWatch
Responsibilities
* Owning and improving CI/CD pipelines
* Managing application configuration releases
* Creating new environments across testing and production
* Enhancing monitoring and observability
* Maintaining and developing Java libraries for microservices
* Supporting cross-region deployment and incremental releases
Requirements
* Minimum 3+ years of relevant experience
* Proficient with Java/Spring Boot
* Strong configuration management skills
* Experience with feature management and toggles
* Understanding of deployment strategies and CI/CD pipelines
* Experience with testing tools such as JMeter or GoReplay
* Knowledge of cloud monitoring tools like Grafana or Prometheus
Beneficial Skills
* Knowledge of Kubernetes
* Deep understanding of Java/Spring Boot and JVM tuning
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