Full Stack Engineer

Location

Group Engineering Centre, ST Engineering Jurong East Hub (Singapore)

About the Role

We are seeking a skilled Full Stack Engineer to join the Group Engineering Centre (GEC) – Video Analytics team at ST Engineering . You will work as part of a highperforming engineering team to design and develop endtoend video analytics solutions and platforms that enable the deployment, operation, and visualisation of advanced AI and computer vision capabilities across multiple ST Engineering businesses.

You will work closely with cross-functional teams to translate complex analytics capabilities into robust, scalable, and userfriendly software products . This role places a strong emphasis on software engineering excellence , modern web development using React , and backend development using Java or Python .

Key Responsibilities

Full Stack Application Development

Design, develop, and maintain endtoend applications for video analytics platforms, spanning frontend, backend, and system integrations.

Build responsive and intuitive user interfaces using React , enabling effective visualisation of video streams, analytics results, alerts, and workflows.

Develop backend services and APIs using Java or Python to support video analytics orchestration, configuration management, data access, and system integration.

Ensure high standards of performance, reliability, security, and maintainability across the full stack.

Platform & Systems Integration

Integrate applications with video ingestion pipelines, computer vision services, and machine learning inference systems .

Work with video streaming, eventdriven architectures, and metadata services.

Collaborate with infrastructure and system teams to deploy and operate platforms in enterprise or missioncritical environments.

Support integration with internal and external systems across ST Engineering businesses.

Software Engineering Excellence

Apply strong software engineering principles , including clean code, modular design, testing, and documentation.

Participate actively in code reviews and architecture discussions, contributing to continuous improvement of the codebase.

Troubleshoot and resolve defects, performance issues, and scalability challenges.

Contribute to shared frameworks, reusable components, and platform standards within the Video Analytics team.

Collaboration & Delivery

Work closely with machine learning engineers to ensure smooth integration between AI models and production platforms.

Engage with product owners, domain experts, and users to understand requirements and deliver practical, operationally effective solutions.

Support agile development practices, including iterative delivery and incremental platform enhancements.

Required Skills & Experience

Essential

Strong experience as a Full Stack Developer , delivering productionquality software systems.

Excellent software engineering fundamentals and experience building maintainable, scalable applications.

Fluency in React for frontend development.

Strong backend development experience in Java or Python .

Familiarity with using databases such as PostgreSQL.

Experience designing and implementing RESTful APIs and servicebased architectures.

Proficiency with version control, testing practices, and collaborative development workflows.

Ability to communicate effectively within crossfunctional engineering teams.

Desirable

Experience with video analytics, video streaming, or mediacentric platforms .

Familiarity with integrating AI or machine learning components into applications.

Exposure to microservices, containers, or cloudbased deployments.

Knowledge of authentication, authorisation, and secure application design.

Experience working on complex, enterprisegrade or operational systems.

What We Offer

The opportunity to build core software platforms that enable advanced video analytics across diverse industries.

Close collaboration with AI and computer vision experts in a grouplevel engineering centre of excellence.

Exposure to largescale, realworld systems deployed in demanding environments.

A collaborative, engineeringdriven culture with strong emphasis on quality and learning.

If you are passionate about building highquality software , fluent in React and Java or Python , and excited to work on platforms that bring advanced video analytics solutions to life, we would welcome your application.