Full-Stack Engineer: Data, AI & Cloud Platforms

Capgemini; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Capgemini Singapore is seeking a motivated Full-stack Engineer with an interest in data engineering and AI/ML to join our dynamic team. You will own end-to-end application development across frontend, backend and cloud, and collaborate with data engineers to deploy data pipelines in production.

The role requires strong Python/SQL, CI/CD, RESTful APIs and cloud skills (AWS/GCP/Azure) with hands-on containerization (Docker/Kubernetes) and IaC (Terraform).

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Proficiency in Python and SQL.
• Experience with Git and collaborative development workflows.
• Experience with CI/CD pipelines.
• Knowledge of RESTful APIs and web services.
• Familiarity with frontend frameworks (React/Angular/Vue) and backend (Django/Node/Flask).
• Cloud platforms (AWS/GCP/Azure) and containerization (Docker).
• Experience with data processing libraries (Pandas/NumPy) is a plus.

Responsibilities

• Take full ownership of end-to-end application development across frontend, backend and cloud infrastructure.
• Optimize full-stack CI/CD deployment strategies for automated releases.
• Collaborate with data engineers to implement data pipeline solutions in production.
• Develop high-performance backend services and APIs with reliability and observability.
• Write clean, maintainable code and participate in code reviews.

Skills

Python

SQL

Git

CI/CD

RESTful APIs

Web frameworks

Cloud platforms

Docker

Kubernetes

Terraform

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

Docker

Kubernetes

Terraform

Job description

Capgemini Singapore is seeking a motivated Full-stack Engineer with an interest in data engineering and AI/ML to join our dynamic team. You will own end-to-end application development across frontend, backend and cloud, and collaborate with data engineers to deploy data pipelines in production.

The role requires strong Python/SQL, CI/CD, RESTful APIs and cloud skills (AWS/GCP/Azure) with hands-on containerization (Docker/Kubernetes) and IaC (Terraform).