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Full Stack Software Engineer (Python / React / AWS)

Full-time

Manpower

  • Job Reference: 159483
  • Industry: Information and Communications Technology
  • Consultant Registration Number: R1434374
  • EA License Number: 02C3423
  • Overview

    We are looking for Full Stack Software Engineers to design, develop, and deliver scalable digital solutions supporting AI-enabled applications . This role spans frontend, backend, and DevOps/MLOps, with a focus on building secure, high-performance systems and integrating machine learning capabilities into production environments.

    You will collaborate closely with product managers, UX designers, data scientists, and engineering teams to deliver end-to-end digital experiences, including AI-assisted features. This is an exciting opportunity to work on impactful, data-driven products in a highly collaborative and innovation-focused environment.

    Responsibilities

    Frontend Development

    • Design, develop, and test scalable web and mobile applications using modern frontend frameworks.
    • Collaborate with UX/UI, backend, and data teams to deliver seamless user experiences, including AI-driven features.
    • Lead frontend architecture with a focus on performance, accessibility, security, and maintainability.
    • Integrate APIs supporting machine learning models and real-time inference services.
    • Support deployment, monitoring, and optimisation of frontend applications.

    Backend Development

    • Design and develop robust backend systems and APIs to support application and data requirements.
    • Build and maintain APIs for AI/ML inference, scoring logic, and workflow orchestration.
    • Develop data pipelines for ingestion, transformation, and storage to support analytics and model training.
    • Collaborate with data scientists to operationalise machine learning models in production.
    • Ensure backend systems meet standards for security, scalability, reliability, and auditability.

    DevOps / MLOps & Security

    • Support and maintain CI/CD pipelines for application and model deployment.
    • Implement MLOps practices, including model versioning, experiment tracking, and environment reproducibility.
    • Monitor system health, model performance, and production stability.
    • Implement security best practices including access control, vulnerability management, and monitoring.
    • Support infrastructure configuration, deployment automation, and release management.

    Quality Assurance & Release

    • Develop and execute test cases across frontend, backend, and AI-enabled components.
    • Validate system performance, security, and reliability across platforms.
    • Track and resolve defects, regression issues, and performance degradation.
    • Coordinate testing cycles and support release readiness and sign-off.

    Additional Responsibilities

    • Contribute to documentation, knowledge transfer, and continuous improvement initiatives.
    • Support ad-hoc development, scaling, and deployment of digital and AI-enabled solutions.

    Requirements

    • Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related discipline
    • At least 3 years’ experience in full stack software development, covering both frontend and backend technologies
    • Excellent coding skills in Python and experience with frameworks like Django or FastAPI
    • Experience with frontend technologies such as TypeScript, React Native, or similar
    • Familiar with APIs and database systems (e.g., PostgreSQL or similar)
    • Experience working with cloud platforms (AWS) and tools like Docker
    • Exposure to CI/CD pipelines and DevOps practices
    • Experience with monitoring or security tools is a good to have
    • Interest or experience in working with AI / machine learning features
    • Good problem-solving skills and attention to detail
    • Able to work well in a team and communicate effectively

    Location

    Singapore

    RECRUITER

    Jireli Gem Mejia Cabria

    View phone number on sg.workus.org

    ***email_hidden***

Vacancy posted 13 days ago
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