At Huuuge Games we make top grossing mobile games that bring people together through fun and social mobile gaming.

Were looking for a passionate Streaming Applications Developer to join our team. Youll be responsible for developing and maintaining high-performance, real-time systems where every millisecond counts, processing thousands of events per second. Youll be using Scala within the Confluent Kafka ecosystem to build these systems. Your work will have a tangible impact on the companys results, and youll see the direct effects of your efforts implemented and scaled.

Streaming Applications Developer

Your responsibilities

• Develop core modules for our Big Data platform and data applications, which operate on hundreds of servers in AWS using Spark, Kafka, Flink and Kubernetes.
• Design, develop, and maintain high-performance, real-time data pipelines.
• Research and perform proof-of-concepts for new technologies, tools, and design patterns.
• Lead and contribute to technical design discussions, challenging and reviewing architectural definitions.
• Conduct code reviews to ensure high development standards and best practices are maintained.
• Contribute to high-standard development processes, including CI/CD and unit testing.
• Ensure seamless and reliable deployments to production, along with effective production monitoring.
• Collaborate with cross-functional teams to deliver scalable and robust data solutions.

Our requirements

• 3+ years of experience working in Java/Scala/Python or other high-level programming languages.
• Solid understanding of software architecture paradigms (e.g., microservices, event-driven architecture) and design patterns for building scalable, distributed systems.
• Proven experience in the design and development of large-scale distributed systems.
• Practical knowledge of Big Data concepts and technologies, with hands-on experience in processing large datasets.
• Familiarity with cloud environments (AWS, GCP, or Azure) and a commitment to high-quality development practices, including unit testing and CI/CD.
• AI tools usage in every day work
• Experienced with building scalable stream-processing using Kafka/Flink
• Experience in Big Data ecosystem - an advantage