Requirements: English
Company: Synerise
Region: Rzeszow , Podkarpackie Voivodeship
Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one a next-generation, fully personalized and AI-driven customer experience. Synerise Explainer Video (youtube.Com) : an ever-evolving data platform enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. AI | Apply science to behavioral data. a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. Having such great solutions, we are looking for a Senior Backend Engineer to join our brave and brilliant Synerise Team. Translate complex functional and technical requirements into detailed design. is based on artificialintelligence, semantic web, predictive analysis, machine learning and marketing automation. Experience with SQL and NoSQL databases. What will convince us even more?Experience with cloud environments (Azure / GCP). Programming skills in Java / Rust /Python. An opportunity to work with cutting-edge technology and AI-driven projects. A chance to take part in building ambitious Big Data-related products used by international clients from various fields. Bing a member backend developerteam that focuses on relationships and a good atmosphere in the team. Working with us you will have the chance to immerse yourself in a challenging projects in an interdisciplinary team. OurBackend Team uses Scala, Rust, Python, Kafka, ElasticSearch, ScyllaDB,Azure, GCP, Kubernetes, our colleagues from the Frontend Team use JavaScript(React.Js), ES6, Redux, TypeScript, Webpack. Both teams are supported by the QA and Infrastructure Teams. We like to experiment and we have the environment to do it. We work on the borderline of science and technology, creating outstanding solutions.