Full Stack Software Engineer (with Data Science Competencies) - 1 year contract! - #1115154

The Role

As a Full Stack Software Engineer, you will play a pivotal role in building secure, innovative data solutions that empower organizations to use and share data safely. You’ll work at the intersection of privacy technology and AI, transforming advanced research into practical tools.

Key Responsibilities:

1. Develop User Interfaces: Create responsive, intuitive web applications using modern frameworks (e.g., Next.js/React), ensuring smooth user experiences.

2. Backend Integration: Connect front-end interfaces with backend services and RESTful APIs (e.g., FastAPI), enabling seamless data processing and synthetic data generation.

3. Cloud Deployment: Containerize applications with Docker and deploy using cloud-native tools (e.g., AWS Lambda, Serverless Framework) for scalability and reliability.

4. Infrastructure Management: Utilize Infrastructure as Code (e.g., Terraform) to automate and manage cloud resources efficiently.

5. Quality Assurance: Build and maintain CI/CD pipelines (e.g., GitLab) for automated testing, deployment, and code quality.

6. AI & Data Science Collaboration: Work closely with Data Scientists to integrate machine learning models and data pipelines into production systems.

7. System Design: Contribute to architectural decisions that balance maintainability, scalability, and integration with AI workflows.

8. Cross-Functional Collaboration: Partner with product managers, engineers, and privacy experts to deliver secure, high-impact features.

9. Continuous Improvement: Stay updated on emerging technologies in AI, privacy, and software engineering, and propose enhancements to workflows and system performance.

10. Troubleshooting: Investigate and resolve technical issues, especially those related to model integration and user experience.

What Are We Looking For?

Requirements:

• Degree or Diploma in Computer Science, Engineering, or a related field.

• At least 3 years in software engineering or a similar role.

• Proficient in building web applications with frameworks like Next.js, React, Angular, or Vue.

• Experience developing RESTful APIs using Python or other backend technologies.

• Hands-on experience with cloud platforms (AWS preferred; GCP or Azure also considered).

• Familiarity with Docker, CI/CD pipelines, and version control (Git).

• Exposure to tools like Terraform is an advantage.

• Keen interest in web app development, user experience, and API design.

• Experience collaborating on ML/DS workflows, with the ability to read/debug Python code for ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) is a plus.

• Curiosity, adaptability, and a collaborative approach to problem-solving.
  

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EA Personnel Name: Woon Pei Chyi (Jess)
EA Personnel No: R23119229
EA License No: 11C3955