6+ years of experience as a software engineer, with proven full-stack capabilities. Strong proficiency in Java with Spring Boot for developing microservices and enterprise applications. Strong proficiency in front-end development with JavaScript (ES5/ES6+), TypeScript, ReactJS, Redux, React Query, and NPM. Experience designing and implementing custom React components and consuming RESTful APIs. Solid understanding of microservices, distributed architectures, and design patterns. Knowledge of public cloud platforms in a hybrid environment (primarily AWS, with integration and API layers on Azure) and CI/CD pipelines. Experience with NoSQL databases (MongoDB, Elasticsearch, Redis). SQL knowledge is considered an additional asset, not a requirement. Hands-on experience with AI-assisted development tools, particularly GitHub Copilot and supported models, to enhance productivity throughout the software development process. Familiarity with container orchestration tools (Docker, Kubernetes). Strong understanding of Git for version control and collaboration. Experience working in Agile environments (Scrum / Kanban) and with issue tracking systems (JIRA). Excellent problem-solving skills, adaptability, and decision-making capabilities. Fluent in English (spoken and written) for effective collaboration in an international environment.
6+ years of experience as a software engineer, with proven full-stack capabilities. Strong proficiency in Java with Spring Boot for developing microservices and enterprise applications. Strong proficiency in front-end development with JavaScript (ES5/ES6+), TypeScript, ReactJS, Redux, React Query, and NPM. Experience designing and implementing custom React components and consuming RESTful APIs. Solid understanding of microservices, distributed architectures, and design patterns. Knowledge of public cloud platforms in a hybrid environment (primarily AWS, with integration and API layers on Azure) and CI/CD pipelines. Experience with NoSQL databases (MongoDB, Elasticsearch, Redis). SQL knowledge is considered an additional asset, not a requirement. Hands-on experience with AI-assisted development tools, particularly GitHub Copilot and supported models, to enhance productivity throughout the software development process. Familiarity with container orchestration tools (Docker, Kubernetes). Strong understanding of Git for version control and collaboration. Experience working in Agile environments (Scrum / Kanban) and with issue tracking systems (JIRA). Excellent problem-solving skills, adaptability, and decision-making capabilities. Fluent in English (spoken and written) for effective collaboration in an international environment.
Assist in integrating data from multiple sources, including building management systems (BMS), IoT devices, email, SharePoint, ERP/CRM systems, spreadsheets, databases, and other business applications.
Support data analytics, engineering data analysis, dashboards, and reporting initiatives for property operations, asset management, M&E performance monitoring, predictive maintenance, energy consumption analysis, and ESG tracking.
Analyze engineering and operational data to identify trends, equipment performance issues, maintenance opportunities, process improvements, and energy efficiency enhancements.
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Own, drive and lead the whole design and development technical execution, engineering standards compliance, and final validation of the product up to first delivery
Proactively identify potential technical bottlenecks, security risks, or engineering failures before they occur
Serve as the primary point of contact for the customer's technical team to discuss specification and engineering changes
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