🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
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 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.