Full Stack Engineer - PrimeStaff Management Service Pte Ltd

The Full Stack Engineer (AI-Assisted programming)

The Full Stack Engineer is a pivotal role responsible for the end-to-end design, development, deployment, and maintenance of scalable, high-performance, and secure web applications.

This role combines application development (AI-assisted programming) with hands-on ownership of cloud infrastructure, ensuring reliable, secure, and scalable systems on Azure. The engineer would be working on PUB's gen-AI assisted procurement-related web application as part of PUB's AI initiative.

Key responsibilities

User Engagement & Requirements Gathering:

• Conduct user testing sessions to gather valuable feedback on application functionality and user experience.
• Actively engage with stakeholders and end-users to gather, refine, and translate product functionality requirements into technical specifications/ testable artifacts.
• Storage: Azure Blob Storage, Azure PostgreSQL Flexible Server

AI-Assisted Development & Code Quality:

Own end-to-end application delivery (frontend, backend, and cloud), leveraging AI coding assistants to accelerate development while ensuring quality, scalability, and maintainability (DRY, modular design, separation of concerns).

Build responsive, accessible, and performant web interfaces, using AI to speed up development while retaining full ownership of architecture and reusability.

Design and operate secure, reliable, and observable backend services and APIs, guiding AI for boilerplate and tests while owning API contracts and data models.

Cloud Architecture & Infrastructure:

• Own the end-to-end design, implementation, and operation of Azure infrastructure, ensuring solutions are secure, scalable, highly available, and compliant by design.

Translate application and security requirements into well-architected Azure reference architectures, balancing performance, cost, and operational complexity.

Design and implement secure network topologies, including segmented VNets, subnet strategies, private connectivity patterns (Private Endpoints, VNet Integration) to eliminate public exposure of critical services , and network security enforcement using NSGs

Architect and deploy cloud-native application platforms, leveraging services such as:

Compute: Azure Kubernetes Service (AKS)

Integration: API Management (APIM)

Security: Key Vault, Managed Identities, Entra ID integration

Edge & Protection: Application Gateway, WAF

Implement secure-by-default infrastructure patterns, including secret management and end-to-end encryption (in transit and at rest)

DevOps:

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