GR8 Tech is a global product company that provides innovative, scalable platforms and business solutions for the iGaming industry.
We have great experience: GR8 Tech platform successfully handles millions of active players and offers best practices to develop and grow in the gambling industry. We are here to provide great gaming tech to satisfy even greater ambition!
We develop complete tech coverage for gambling businesses worldwide, including iGaming platform solutions, consulting, integration, and long-lasting operation services.
We are driven by our ambition to make a great product with great people! Together we move the world of iGaming forward — join!
As Senior Developer in the BI&AP Streaming Team, you will play a critical role in designing, developing, and maintaining our real-time data streaming platform. You will be responsible for the implementation of mission-critical use cases from real-time analytics to personalized user experiences, by building scalable, low-latency data pipelines using Kafka Streams, Flink, and the JVM ecosystem (Java/Scala).
About your key responsibilities and impact: — Designing and implementing real-time streaming pipelines using Kafka, Flink, and Kafka Streams; — Leading architecture and design decisions for the event-driven data platform; — Mentoring junior engineers and fostering best practices in stream processing; — Collaborating with product & project managers to translate business requirements into robust data systems; — Ensuring data quality, observability, and reliability in streaming data; — Championing performance, fault tolerance, and exactly-once semantics in streaming jobs; — Evaluating and adopting new technologies to drive innovation; — Enforcing quality assurance standards and ensuring thorough testing before release; — Maintaining comprehensive documentation for system architecture and technical designs.
Essential professional experience: — At least 5 years of experience in a similar role with a strong track record of leadership and successful project delivery; — Proven expertise with Apache Kafka and hands-on experience with Flink, Kafka Streams, or similar real-time systems; — Strong programming skills in Java, Scala, Python; — In-depth understanding of distributed systems, data consistency models, and streaming semantics; — Experience with CI/CD, containerization, and infrastructure-as-code tools is a plus; — Communicate effectively with stakeholders, including presenting technical concepts and project updates.
