Luxoft team is developing a family of condition-based and predictive health management products that uses various online and offline data sources to provide preventive intervention recommendations based on grid asset condition, probability of failure, criticality and risk assessments. Data lake collects telemetrics data, makes clearance, manages archives. Rich UI to visualize results of analysis and diagnostics, prognostics, including 3D representation, builds prognosis on assets health and performance. Offline data is gathered via hybrid mobile application and through external connectors.
We are working with BigData scale and using latest technologies like Java 11, SpringBoot 2, Spring Clould, Kafka, Ignite, Cassandra, PostgreSQL, Jupyter, Docker and Kubernetes, AWS, Angular 10.
Our team is distributed between Ukraine and France (client).
Opportunities: study cutting-edge technologies and participate in multi-year project for one of the biggest companies in the World, contribute to the platform that will change work experience and results of energy grid engineers across the globe.
Nice to have
English: B1 Intermediate
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