
1001 - 5000 employees
Founded 2002
🎮 Gaming
📡 Telecommunications
Software Development • Gaming • Telecommunications
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.
🔥 0 minutes ago
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1001 - 5000 employees
Founded 2002
🎮 Gaming
📡 Telecommunications
Software Development • Gaming • Telecommunications
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.
• 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
• opportunity to work with cutting-edge technologies and high-scale systems • challenging tasks • freedom to experiment with new technologies
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