Software Engineer (Mid Level/ Senior)

Datumstruct Tech, a leading provider of Data Centre Infrastructure Solutions since 1999, is seeking a Mid-Level/ Senior Software Engineer to join our dynamic team. Based in Singapore with Southeast Asia presence, we are provide innovative solutions for Data Centre IT Infrastructure, Environmental Technology and Autonomous Robotics. **Candidates with more extensive relevant experience may be considered for the Senior or Team Lead position. Job Responsibilities Design, develop, test, and deploy backend services (Java, Node.js, Python) and build responsive front-end applications (ReactJS, JavaScript, TypeScript, HTML, CSS). Develop and maintain mobile apps using React Native with responsive UI design. Design and optimize relational (MySQL) and non-relational (MongoDB) databases, and integrate third-party services via RESTful APIs and SDKs. Handle live streaming protocols (RTSP) and manage multimedia data streams. Deploy and manage containerized applications with Docker and perform development/administration tasks on Linux systems. Architect new projects from scratch, define technology stack, plan infrastructure, and design secure, scalable, high-performance systems. Write clean, maintainable code, troubleshoot/debug issues, optimize performance, and contribute to technical documentation. Stay updated with industry trends, engage in AI-related development (e.g., Computer Vision), and apply innovative solutions to enhance products. Communicate with Project Managers/Product Owners, provide updates to management, and coordinate with Sales, Support, and global teams to ensure smooth delivery. Job Requirements Degree in Computer Science, Software Engineering or a related field. 2-4 years in full-stack or backend development with leadership exposure. Proficiency in Java, Node.js, or Python. Experience with ReactJS, JavaScript, TypeScript, React Native, HTML5, CSS3, and responsive UI design. Strong knowledge of MySQL, MongoDB, REST APIs, and third-party integrations. Hands-on with Docker, container deployment, and Linux environments. Familiarity with RTSP/live video streaming and exposure to Vision AI (OpenCV, Tensor Flow, YOLO). Excellent communication, mentoring ability, and strategic thinking for large-scale project execution.