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Open nowFirst seen 12 hours ago

Full-Stack Engineer

User Experience Researchers Pte.Ltd53 open roles

Where
Singapore
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Your applicationOpen nowFull-Stack EngineerUser Experience Researchers Pte.Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on User Experience Researchers Pte.Ltd's own form.

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. User Experience Researchers Pte.Ltd postings stay open a median of 1 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: first seen 12 hours ago

User Experience Researchers Pte.Ltd median: 1 days open

The posting

The Full Stack Engineer will be responsible for designing, developing, deploying and maintaining scalable, high-performance and secure web applications. The role requires strong software engineering fundamentals and experience in delivering digital and AI-enabled products. Working in an agile and DevOps-driven environment, the engineer will contribute to the development, deployment and scaling of digital products while ensuring software quality, maintainability, security and continuous improvement.

Key Responsibilities:

  • Take ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure and AI services.
  • Design, develop and maintain responsive, accessible and high-performance web applications.
  • Implement modern frontend architectures with a focus on reusability, scalability and security.
  • Develop backend services and APIs, ensuring reliability, security and observability.
  • Ensure adequate automated test coverage and proactively identify and resolve bugs and defects.
  • Optimize CI/CD pipelines and deployment strategies to enable seamless and automated software releases.
  • Automate infrastructure provisioning, monitoring and cloud deployments using DevOps best practices.
  • Ensure application security, including authentication, authorization, API security, and frontend security best practices.
  • Own the delivery, enhancement, and scaling of AI-enabled products in production.
  • Continuously evaluate and adopt emerging technologies to improve application performance and developer productivity.

Experience and Skills Required:

Full-Stack Development

  • A degree or diploma in Computer Science, Computer Engineering, Information Technology or a related discipline.
  • Experience with Git and modern version control and branching workflows.
  • Strong proficiency in both frontend and backend development.
  • Experience delivering production-ready web applications and digital products across the full development lifecycle, including development, testing, deployment and production support.

Frontend Technologies

  • Proficiency in JavaScript and TypeScript.
  • Experience with frontend frameworks such as React.js and/or Next.js.
  • Experience developing responsive and user-centric web applications.
  • Familiarity with UI component libraries such as Material-UI or Tailwind CSS.

Backend Technologies

  • Experience with Node.js (Express.js or NestJS) and/or Python (FastAPI, Flask or Django).
  • Strong experience designing and developing RESTful APIs.
  • Familiarity with GraphQL and WebSockets.
  • Knowledge of caching technologies (e.g. Redis), API rate limiting and scalability techniques, including horizontal scaling and load balancing.
  • Experience integrating applications with enterprise systems and third-party platforms.

AI Application Development

  • Hands-on experience developing and deploying LLM-powered features in production environments, including Retrieval-Augmented Generation (RAG), tool/function calling and agent workflows.
  • Experience implementing AI guardrails and evaluating Large Language Model (LLM) output quality.
  • Experience using AI coding assistants to support software development, with the ability to review, validate and maintain the quality and security of generated code.

DevOps, Cloud and Infrastructure

  • Experience with GitLab CI/CD pipelines and modern DevOps practices.
  • Hands-on experience with AWS cloud services and architectures.
  • Experience with containerisation technologies such as Docker.
  • Familiarity with application monitoring and observability tools.

Security Best Practices

  • Awareness of LLM-specific security risks, including prompt injection and sensitive data leakage, as outlined in the OWASP Top 10 for LLM Applications.
  • Experience implementing authentication and authorisation mechanisms, including OAuth and JSON Web Tokens (JWT).
  • Knowledge of API security and secure coding practices.
  • Familiarity with cloud security concepts and OWASP Top 10 security risks.

Software Quality and Testing

  • Experience with unit and integration testing.
  • Experience with automated testing frameworks.
  • Ability to troubleshoot and resolve production issues effectively.

Bonus Experience (Added Advantage)

  • Experience delivering projects in government or public-sector environments.
  • Familiarity with government security, governance and compliance requirements.
  • Experience with Microsoft Copilot, Azure OpenAI or other enterprise AI platforms.
  • Experience developing AI agents, copilots, chatbots or workflow automation solutions.
  • Familiarity with Kubernetes and container orchestration platforms.
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