Software Engineer: AI/ML & Cloud for Public Benefit

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

Job summary

GovTech Singapore is seeking a Software Engineer to help transform public digital services and join the Trust & Safety group’s GASP initiative. You will build features across components, contribute to architecture decisions, and ensure robust, scalable software delivery using cloud services such as AWS.

You will write production-quality code, expand test coverage, and participate in incident response while leveraging AI-assisted coding tools to accelerate delivery.

Qualifications

• Proficiency in Python/JavaScript/TypeScript with strong coding skills.
• Experience with AWS Cloud and scalable architectures.
• Solid knowledge of algorithms and data structures.
• Ability to deliver moderately complex, multi-component features with growing independence.
• Hands-on IaC experience (Terraform).
• Experience creating GitLab CI/CD templates for different use cases.

Responsibilities

• Build POCs and features spanning multiple components.
• Contribute to system architecture and design decisions, with mentorship on cross-component trade-offs.
• Write and review production-quality code, expand test coverage across key workflows.
• Contribute to CI/CD pipelines, manage cloud deployments, and own observability for what you ship.
• Participate in incident triage and resolution, escalating complex issues appropriately.
• Use AI-assisted coding tools to accelerate delivery, reviewing AI-generated code to the same bar as human-authored code.

Skills

Python

JavaScript

TypeScript

AWS Cloud

Algorithms

Terraform

GitLab CI/CD

Complex features

Tools

AWS Cloud

Job description

GovTech Singapore is seeking a Software Engineer to help transform public digital services and join the Trust & Safety group’s GASP initiative. You will build features across components, contribute to architecture decisions, and ensure robust, scalable software delivery using cloud services such as AWS.

You will write production-quality code, expand test coverage, and participate in incident response while leveraging AI-assisted coding tools to accelerate delivery.