Kerja Sepenuh Masa, Software Engineer, Backend di PLT Engineering Selangor - Maukerja

Get to Know the Team

At Grabber Technology Solutions (GTS), we revolutionise the technology experience for every Grabber. Our mission is to empower our team with seamless and solutions that enhance their daily work. We are a diverse group of forward-thinkers committed to creating personalised IT experiences. If you're passionate about customer-centric innovation and on technology at Grab, come join us and help shape the future of technology!

Get to Know the Role

The Software Engineer will contribute to the Business Applications Engineering team's work on Grab's next generation of AI-first applications and internal platforms.

You will contribute throughout the technical delivery journey, from solution design and implementation through production delivery, adoption, support and continuous improvement. It uses the team's agentic engineering harness and AI-assisted development practices to build secure, reliable, and observable systems.

You will be reporting to Head of Business Integration.

This role is onsite based in our Petaling Jaya, Malaysia office.

The Critical Tasks You Will Perform:

• You will build and maintain features, services, integrations, and automations for internal enterprise applications and platforms.
• You will contribute to reusable foundations for agentic applications, including APIs, event contracts, data access, identity, permissions, auditability, and human escalation paths.
• You will apply testing, evaluation, observability, security controls, and operational guardrails throughout the development and delivery lifecycle.
• You will build prototypes and production code to validate new ideas, resolve technical uncertainty, and accelerate delivery.
• You will write readable, maintainable, and well-tested code, and participate in technical design discussions and code reviews.
• You will support production delivery, monitoring, incident investigation, documentation, and continuous improvement.
• You will identify repetitive work and propose automation or AI-enabled improvements that increase team productivity.