Full Stack Software Engineer and Data Science

Job Scope

• Build responsive and user-friendly interfaces with , ensuring seamless user workflows

• Integrate backend services and RESTful APIs with FastAPI, enabling smooth interaction between the UI and the synthetic data generation engine.
  
  

• 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.
  
  

• 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.
  
  

• 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).
  
  

• Contribute to system design and architectural decisions that balance maintainability, scalability, and integration with ML workflows.
  
  

• 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.
  
  

• Stay at the forefront of emerging AI, privacy, and software technologies.
  
  

• Propose improvements to developer workflows, product performance, and system security at scale.
  
  

Requirements

• Hands-on experience in frontend development using 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).
  
  

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

Toh Wen Qi, Celeste | REG No : R

PERSOL SINGAPORE PTE LTD | EA License No : 01C4394

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