Full Stack Engineer (Video Analytics)
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Job Title: Full Stack Engineer (Video Analytics)
Job ID: 21775
Location: ST Engineering Jurong East Bui, SG
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 teams to 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 .
Familiarity with using databases 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.
If you are passionate about
building high‑quality 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.
Job ID: 21775
Location: ST Engineering Jurong East Bui, SG
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 teams to 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 .
Familiarity with using databases 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.
If you are passionate about
building high‑quality 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.