Responsibilities
Design and Develop
Build responsive and user-friendly interfaces with Next.js/React, ensuring seamless user workflows
Integrate backend services and RESTful APIs with FastAPI, enabling smooth interaction between the UI and the synthetic data generation engine.
Deploy and Scale
Containerize applications with Docker and deploy via AWS Lambda and the Serverless Framework
Manage infrastructure with Terraform to ensure scalability, security, and cost efficiency across a whole-of-government environment.
Automate and Assure Quality
Develop and maintain CI/CD pipelines in GitLab, enabling automated builds, testing, and deployments.
Participate in code reviews, refactoring, and performance tuning to deliver high-quality, reliable systems.
Enable AI/ Data Science Features
Collaborate closely with Data Scientists to translate models and experiments into production-ready features (e.g., preprocessing pipelines, imputation methods, constraint handling)
Support integration of deep learning and statistical models into the product, ensuring usability, performance, and maintainability
Help investigate and resolve edge cases where model behavior affects user experience (e.g., training failures, poor outputs).
Shape Architecture
Contribute to system design and architectural decisions that balance maintainability, scalability, and integration with ML workflows.
Collaborate Cross-Functionally
Partner with product managers, engineers, and privacy researchers to deliver features that meet both functional and security requirements
Translate technical concepts across AI, privacy, and software domains for stakeholders.
Innovate and Evolve
Stay at the forefront of emerging AI, privacy, and software technologies.
Propose improvements to developer workflows, product performance, and system security at scale.
Requirements
Have Degree or Diploma in computing, design or a relevant field of study
Min.
3 years’ experience in software engineering or related role
Hands-on experience in frontend development using Next.js or any other web libraries or frameworks (React, Angular, Vue and etc)
Experience in backend with REST APIs with Python or any other backend frameworks/language
Proficiency in cloud environments (AWS preferred; GCP or Azure acceptable)
Experience with Infrastructure as Code tooling would be an advantage
Strong understanding of Docker and containerized deployments
Familiarity with Git version control and testing
Understanding of DevOps, Git and CI/CD would be an advantage
Interest in web app development with UI/UX design, and API development
Adjacent skillsets in AI and Data Science are a bonus:
Exposure to ML/DS workflows, with ability to collaborate on model integration and data preprocessing pipelines
Comfort reading or debugging Python code related to ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Familiarity with privacy, data science, or synthetic data generation concepts is a strong plus.
Curiosity, willingness to learn, and inclination to work in a collaborative environment
Working Arrangement
Punggol
1 year contract
EA License No.: 96C4864
Reg No.: R HUANG QIMENG
#J-18808-Ljbffr