Full Stack Engineer

We are seeking a skilledFull Stack Engineerto join theGroup Engineering Centre (GEC) – Video Analytics teamatST Engineering. You will work as part of a high‑performing engineering team to design and developend‑to‑end video analytics solutions and platformsthat 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 intorobust, scalable, and user‑friendly software products. This role places a strong emphasis onsoftware engineering excellence, modern web development usingReact, and backend development usingJava or Python.

Key Responsibilities

Full Stack Application Development

• Design, develop, and maintainend‑to‑end applicationsfor video analytics platforms, spanning front‑end, backend, and system integrations.
• Buildresponsive and intuitive user interfacesusingReact, enabling effective visualisation of video streams, analytics results, alerts, and workflows.
• Developbackend services and APIsusingJava or Pythonto support video analytics orchestration, configuration management, data access, and system integration.
• Ensure high standards ofperformance, reliability, security, and maintainabilityacross the full stack.

Platform & Systems Integration

• Integrate applications withvideo 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

• Applystrong 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 aFull Stack Developer, delivering production‑quality software systems.
• Excellentsoftware engineering fundamentalsand experience building maintainable, scalable applications.
• Fluency inReactfor front‑end development.
• Strong backend development experience inJava or Python.
• Familiaritywith usingdatabases such as PostgreSQL.
• Experience designing and implementingRESTful APIsand service‑based architectures.
• Proficiency with version control, testing practices, and collaborative development workflows.
• Ability to communicate effectively within cross‑functional engineering teams.

Desirable

• Experience withvideo 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 buildcore software platformsthat 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 aboutbuilding high‑quality software, fluent inReact and Java or Python, and excited to work on platforms that bring advanced video analytics solutions to life, we would welcome your application.