Senior Java Engineer, Segmentation & Audience Platform

🕒 July 24

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 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

🎯 Requirements

• At least 5 years of commercial software engineering experience • Strong Java expertise • Solid understanding of streaming architectures and stateful stream processing using technologies such as Apache Beam, Apache Flink, Kafka Streams, or Spark Structured Streaming • Strong experience designing and building rule engines, expression evaluators, query engines, or policy/targeting systems • Hands-on experience with incremental computation and materialized view maintenance • Experience designing event-driven distributed systems with a strong focus on scalability and reliability • Strong knowledge of data consistency concepts, including point-in-time snapshots, exactly-once processing, idempotency, bounded staleness, and eventual consistency • Experience building dependency graphs, composition engines, or DAG-based processing pipelines • Practical experience with distributed data stores and low-latency data modeling • Strong knowledge of Java and Google Cloud Platform, including Pub/Sub and Apache Beam • Experience building correctness-critical systems with a strong focus on testing, validation, and fault tolerance • Solid understanding of versioning, rollback strategies, anomaly detection, and production safety practices • Upper-Intermediate English level • Experience with AdTech, MarTech, CRM segmentation, audience-building, or campaign targeting platforms will be a plus • Experience with query optimization, indexing strategies, and database internals • Knowledge of graph processing, relationship traversal, or projection-based systems • Experience with multi-tenant architectures, workload isolation, and cost optimization • Understanding of GDPR-compliant data deletion and privacy propagation • Experience working in regulated domains such as Education (K-12), Healthcare, or FinTech • Experience with Google Cloud Spanner or similar globally distributed databases • Familiarity with geospatial indexing and location-based querying

🏖️ Benefits

• Opportunity to work with cutting-edge technologies • Freedom to experiment with new technologies while improving data systems at scale • Collaborative environment • Technical leadership opportunities