Senior Java Engineer (Audience Segmentation)

We are looking for a Senior Java Engineer to join the Segmentation & Audience Platform project full-time. We are building a real-time Audience Segmentation & Engagement Platform that powers communications, personalization, automation, reporting, and customer engagement across the entire ecosystem.
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‍Your responsibilities will include:‍

• Design and implement core components of the audience segmentation platform.
• Design and evolve a flexible segment definition language supporting complex rules and targeting scenarios.
• Build a scalable segment evaluation engine for processing large-scale entity and relationship data.
• Support complex nested logical expressions, filtering criteria, and rule evaluation workflows.
• Implement relationship-based audience resolution across multiple entity types and organizational hierarchies.
• Design and optimize incremental segment recomputation to efficiently process continuous data changes.
• Build event-driven audience update and hydration pipelines for near real-time segment accuracy.
• Implement segment versioning, governance, auditability, and full lifecycle traceability.
• Design low-latency audience resolution services operating at high scale.
• Develop materialization and caching strategies for dynamic segments and audience snapshots.
• Optimize query execution, system performance, scalability, and operational efficiency.
• Design and evolve APIs for audience creation, management, and retrieval.
• Collaborate with product and engineering teams to define platform capabilities and architecture.
• Ensure reliability, observability, maintainability, and operational excellence of the platform.
• Contribute to architectural decisions and provide technical leadership within the team.
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What we expect from you:‍

• At least 5 years of backend engineering experience.
• Strong Java development expertise.
• Experience building distributed systems.
• Experience designing 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.
• Experience designing scalable APIs and backend services.
• Strong problem-solving and performance optimization skills.
• Experience working with cloud-native architectures.
• Ability to drive technical decisions and contribute to system architecture.
• Upper-Intermediate+ English level.
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Will be a plus:‍

• Experience with recommendation engines.
• Experience with Quarkus.
• Experience building Customer Data Platforms (CDP).
• Experience with marketing automation systems.
• Experience with audience segmentation or personalization platforms.
• Experience with graph-based data models and relationship traversal.
• Experience with search technologies such as Elasticsearch or OpenSearch.
• Experience with stream processing technologies.
• Experience with Google Cloud Platform.
• Experience with large-scale analytics systems.
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What We Offer:‍

• Work at a Top-employer company (according to DOU 2025).
• A strong culture built on empathy, trust, openness, and real care for employees.
• Competitive compensation with regular reviews.
• Medical insurance.
• Personal learning budget and access to top HR tools, platforms, and practices.
• Team events and regular team-building activities.
• Flexible hybrid work model with an office in central Kyiv.