Senior Java Engineer (Segmentation & Audience Platform)

• 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

Qualifications :

• 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

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time