Full Stack Engineer (Video Analytics)

St Engineering; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ST Engineering is seeking a skilled Full Stack Engineer to join the Group Engineering Centre – Video Analytics team in Singapore. You will design and develop end-to-end video analytics solutions and platforms that support deployment, operation, and visualization of AI and computer vision capabilities across ST Engineering businesses.

You will collaborate with cross‑functional teams to translate analytics capabilities into robust software products, with emphasis on modern web development using

Qualifications

• Strong experience as a Full Stack Developer delivering production-ready software systems.
• Fluency in React for front-end development and modern web UI design.
• Backend development experience in Java or Python.
• Experience designing RESTful APIs and service-based architectures.
• Familiarity with PostgreSQL and data-driven applications.
• Knowledge of version control, testing practices, and collaborative workflows.

Responsibilities

• Design, develop, and maintain end-to-end applications for video analytics platforms (front-end, back-end, integrations).
• Build responsive, intuitive user interfaces using React for visualization of video streams and analytics results.
• Develop backend services and APIs using Java or Python to support orchestration and data access.
• Ensure performance, reliability, security, and maintainability across the stack.

Skills

Full Stack Dev

React

Java

Python

REST APIs

PostgreSQL

CI/CD

Tools

Docker

Kubernetes

Job description

Job Title: Full Stack Engineer (Video Analytics)

Job Location Region: West

Full Stack Engineer (Video Analytics)

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 high‑performing engineering team to design and develop end‑to‑end 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 teamsto translate complex analytics capabilities into robust, scalable, and user‑friendly 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 end‑to‑end applications for video analytics platforms, spanning front‑end, 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, event‑driven architectures, and metadata services.
• Collaborate with infrastructure and system teams to deploy and operate platforms in enterprise or mission‑critical 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 production‑quality software systems.
• Excellent software engineering fundamentals and experience building maintainable, scalable applications.
• Fluency in React for front‑end development.
• Strong backend development experience in Java or Python.
• Familiaritywith usingdatabases such as PostgreSQL.
• Experience designing and implementing RESTful APIs and service‑based architectures.
• Proficiency with version control, testing practices, and collaborative development workflows.
• Ability to communicate effectively within cross‑functional engineering teams.

Desirable

• Experience with video analytics, video streaming, or media‑centric platforms.
• Familiarity with integrating AI or machine learning components into applications.
• Exposure to microservices, containers, or cloud‑based deployments.
• Knowledge of authentication, authorisation, and secure application design.
• Experience working on complex, enterprise‑grade 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 group‑level engineering centre of excellence.
• Exposure to large‑scale, real‑world systems deployed in demanding environments.
• A collaborative, engineering‑driven culture with strong emphasis on quality and learning.