Senior Cloud Platform Engineer - AI-Driven Infra & Kubernetes

Prudential plc; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Prudential plc in Malaysia is seeking a senior Cloud Platform Engineer to own and evolve our cloud services on Azure and GCP. You will build scalable, secure, and reusable platforms, and apply AI-assisted, spec-driven development to accelerate delivery.

You should have 5+ years of software or cloud engineering experience, hands-on expertise with Kubernetes, Django, and Infrastructure as Code, and the ability to translate business needs into technical solutions.

Qualifications

• 5+ years in software/cloud engineering.
• Experience building platforms or shared cloud services.
• Strong hands-on experience in Azure and GCP.
• Ability to translate business needs into technical solutions.

Responsibilities

• Own cloud platform services end to end, from design to deployment, operations, and continuous improvement.
• Write high-quality, maintainable code and drive automation-first engineering using Django (Python), APIs, Infrastructure as Code, Agentic workflows, and cloud/web services development.
• Apply AI-assisted and spec-driven development methods to improve engineering productivity and service delivery.
• Design and implement scalable, secure, and resilient cloud platform architectures and shared services.
• Partner with engineering and business stakeholders to improve self-service capabilities, developer experience, and translation of business needs into technical solutions.

Skills

Cloud platform engineering

Azure

GCP

Django

Infra as Code

Kubernetes

Agentic workflows

Spec-driven development

AI-assisted development

Stakeholder communication

Tools

APIs

Terraform

Job description

Prudential plc in Malaysia is seeking a senior Cloud Platform Engineer to own and evolve our cloud services on Azure and GCP. You will build scalable, secure, and reusable platforms, and apply AI-assisted, spec-driven development to accelerate delivery.

You should have 5+ years of software or cloud engineering experience, hands-on expertise with Kubernetes, Django, and Infrastructure as Code, and the ability to translate business needs into technical solutions.