Responsibilities

• Design, develop, test, deploy, and maintain front-end and back-end applications across the full ZAEL platform.
• Build responsive, intuitive user interfaces that translate complex maritime data into clear, actionable displays for operators and fleet managers.
• Develop and maintain robust back-end services, APIs, and real-time data pipelines that ingest, process, and serve continuous vessel data at scale.
• Implement and maintain custom analytics logic that applies domain-specific algorithms to raw vessel data, producing the derived insights and performance indicators that sit at the core of ZAEL's value proposition.
• Integrate AI and computer vision models developed by ST Engineering's AI engineers into ZAEL's modules, ensuring seamless deployment and reliable performance within the platform.
• Collaborate closely with cross-functional teams including product managers, UI/UX designers, naval architects, and maritime domain experts to ensure technical solutions are grounded in real operational needs.
• Participate in code reviews, debugging, and troubleshooting to uphold high standards of code quality, reliability, and maintainability.
• Continuously improve software performance, scalability, and security as the platform grows across modules and customer deployments.
• Contribute to shaping engineering practices and technical architecture decisions as a member of a fast-moving product team.

Requirement

• Bachelor's degree in Computer Science, Software Engineering, or related technical discipline.
• Proven full-stack software development experience (2+ years).
• Strong proficiency with modern front-end frameworks (React, HTML5, CSS, and JavaScript) to build polished, data-rich interfaces that non-technical users can navigate with ease.
• Strong back-end development experience, particularly with Python frameworks (FastAPI, Django, Flask) and PostgreSQL.
• Experience with real-time data or streaming technologies (e.g. Kafka, WebSockets, MQTT) to ingest and serve high-frequency, continuous data streams.
• Familiarity with containerisation (e.g. Docker) and cloud services (e.g. AWS) .
• Excellent collaboration, communication, and problem-solving skills
• Familiarity with consuming and integrating AI and computer vision model endpoints into production applications is desirable.
• Experience or interest in the maritime sector or related fields is beneficial but not required.

Other Information

• Location: Jurong East
• 5 days work week
• Working Hours: 8am-530pm