Senior Java Engineer (Segmentation & Audience Platform)

Benefits

Additional Information

Design and implement core components of the audience segmentation platform Develop and evolve a flexible segment definition language supporting complex targeting scenarios Build scalable evaluation engines for processing large-scale entity and relationship data Implement relationship-based audience resolution across multiple entity types Optimize incremental recomputation for continuous data changes Create event-driven pipelines for real-time segment accuracy Ensure governance, auditability, and lifecycle traceability of segments Design low-latency resolution services for high-scale operations Develop caching strategies for dynamic segments and snapshots Optimize system performance, scalability, and operational efficiency Collaborate with product and engineering teams to define platform capabilities and architecture Provide technical leadership and contribute to architectural decisions At least 5+ years of backend engineering experience Strong Java expertise Proven experience building distributed systems Knowledge of query engines, search platforms, rules engines, segmentation platforms, or analytics systems Strong understanding of data modeling and domain-driven design principles Experience with event-driven architectures Skilled in designing scalable APIs and backend services Strong problem-solving and performance optimization skills Experience with cloud-native architectures Ability to drive technical decisions and contribute to system architecture Upper-Intermediate+ English level WILL BE A PLUS Experience with recommendation engines Knowledge of Quarkus Experience building Customer Data Platforms (CDP) Experience with marketing automation systems Expertise in audience segmentation or personalization platforms Familiarity with graph-based data models and relationship traversal Experience with search technologies (Elasticsearch, OpenSearch) Experience with stream processing technologies Experience with Google Cloud Platform Experience with large-scale analytics systems PERSONAL PROFILE Proactive and detail-oriented Thrives in collaborative environments Enjoys solving complex integration challenges Comfortable experimenting with new technologies Committed to improving data systems

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