Senior Java Engineer (Segmentation & Audience Platform)

 Posted 7 hours ago
  
 Poland
  
5-10 years experience
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AI Summary

Design and implement core components of a real-time audience segmentation and engagement platform. Develop scalable evaluation engines, event-driven pipelines, and low-latency resolution services to power personalized customer communications.

Company Description

We at Sigma Software are looking for a Senior Java Engineer to join an exciting project in the domain of audience segmentation and engagement. This is a remote role open to candidates from Ukraine and Europe, offering the opportunity to work with cutting-edge technologies and high-scale systems.

You will be part of a team building a real-time platform that powers communications, personalization, automation, and customer engagement across diverse ecosystems. At Sigma Software, we value innovation, collaboration, and technical excellence.

Why join us? You’ll work on challenging tasks, contribute to architectural decisions, and have the freedom to experiment with new technologies while improving data systems at scale.

CUSTOMER

Our customer is a global technology-driven organization developing advanced platforms for audience segmentation, personalization, and customer engagement. Operating in multiple markets, they enable enterprises to deliver highly targeted communications and automation at scale, leveraging cloud-native architectures and distributed systems for real-time performance.

PROJECT

The project is a real-time Audience Segmentation & Engagement Platform enabling products and business stakeholders to define dynamic audiences based on attributes, relationships, behavioral events, and historical activity.

Job Description

  • 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

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