Python Full Stack Engineer

Full Stack Engineer (AI & Data Platforms)

Role Overview

We are looking for a Python Full Stack Engineer to design, develop, and enhance AI-enabled web applications that support data-intensive business solutions. The role involves building scalable frontend and backend components, implementing DevOps practices, and collaborating with cross-functional teams to deliver secure and high-performing digital products.

Key Responsibilities

• Design, develop, and maintain full-stack applications using ReactJS with TypeScript for the frontend and Python frameworks such as Django or FastAPI for the backend.
• Develop and enhance application modules supporting AI-powered and data-driven workflows.
• Build, maintain, and optimise CI/CD pipelines using GitLab .
• Implement automated testing frameworks to improve application quality, reliability, and deployment efficiency.
• Work closely with developers and cross-functional stakeholders to deliver technical solutions and provide design recommendations.
• Participate in code reviews , contribute to system architecture discussions, and promote engineering best practices.

Requirements

• Degree in Computer Science, Information Technology , or a related discipline.
• Minimum 3 years of experience in full-stack web application development .
• Experience working in collaborative software development teams with version control and CI/CD practices using tools such as Git .
• Strong proficiency in JavaScript/TypeScript frameworks, including ReactJS or AngularJS .
• Hands-on experience with Python web frameworks such as Django , FastAPI , or Flask , with Django being preferred.
• Good understanding of DevOps practices, including automated testing, deployment pipelines, and containerised applications using GitLab, Docker, and Kubernetes .
• Solid knowledge of software architecture , system design , and building scalable, resilient distributed systems.
• Ability to make sound technical decisions that balance performance, maintainability, scalability, and business requirements.

Preferred Skills

• Experience developing custom digital applications involving AI , machine learning , or data analytics in collaboration with data scientists and data engineers .
• Familiarity with observability and monitoring solutions such as OpenTelemetry .
• Knowledge of Government ICT & Smart Systems (IM8) policies and experience working within government technology environments.

Key Technologies

ReactJS, TypeScript, AngularJS, Python, Django, FastAPI, Flask, Git, GitLab, CI/CD, Docker, Kubernetes, DevOps, AI, Data Analytics, OpenTelemetry, IM8.