Cloud Azure Engineer

Cloud (Azure) Engineer

Location: Kuala Lumpur (fully onsite)
Contract: 1 year, renewable
Salary: RM 9,000 to RM 10,800 per month
Experience: 5+ years
Reports to: Technical Manager

About Farben

Farben Information Technology is an IT services and talent delivery company supporting enterprise clients across technology, finance, insurance, and telecommunications. Through our International Business Department we place specialist technology consultants with clients across Malaysia, the Philippines, and wider Asia.

This role is a consultant engagement. You would be contracted through Farben and deployed onsite to our client, a leading insurance organisation with operations across Asia, working within their technology team for the duration of the engagement.

About the client

Our client is a leading insurance organisation with operations across Asia, serving individual and corporate customers through a wide agency and partner network. Their technology function is investing in automation and AI to modernise core operational processes, with a current focus on document digitisation across claims, enrolment, and internal operations.

You would join a technology team working on internal platforms that support claims assessment, policy enrolment, and operational workflows, with several further OCR and automation initiatives planned.

About the role

You will own the delivery and support of OCR and intelligent document processing solutions on Microsoft Azure for an enterprise insurance environment. The platform digitises incoming documents such as hospital bills and enrolment forms, extracts itemised data into downstream systems, and feeds AI-assisted review workflows used by claims assessors.

This is a delivery and coordination role as much as a technical one. You will translate business requirements into solution designs, work with solution architects on infrastructure requirements, drive requests through to completion, and own first-line support for live services.

Responsibilities

• Gather and clarify business requirements for OCR and document digitisation initiatives, and represent those requirements to technical teams
• Design OCR extraction solutions using Azure AI Document Intelligence and related Azure services, including model selection and extraction logic
• Assess document volumes and translate them into infrastructure capacity and sizing requirements
• Work with solution architects, project managers, and delivery teams on design, costing, and implementation
• Prepare and submit infrastructure requests through the organisation's formal approval process, track them to completion, and verify deployed configurations
• Provide first-line production support: analyse incidents, distinguish business or data errors from infrastructure failures, and escalate to second-line teams where required
• Support monthly security patching cycles across non-production, UAT, SIT, and production environments
• Participate in annual disaster recovery exercises
• Provide solution recommendations, progress updates, and briefings to senior leadership

Requirements

• 5+ years in Azure cloud engineering, solution engineering, or platform delivery
• Hands-on experience with Azure AI Document Intelligence (Form Recognizer), Azure Functions, Blob Storage, Event Grid, Logic Apps, Key Vault, App Services, Azure Monitor and Log Analytics, and Azure DevOps
• Understanding of Azure RBAC, encryption, secret management, and audit logging
• REST API development, with proficiency in Python, C#, or .NET
• Experience delivering OCR or intelligent document processing solutions in a production environment
• Strong analytical skills for production issue triage
• Ability to communicate with business users, technical teams, and senior leadership
• Able to work fully onsite in Kuala Lumpur
• Malaysian citizens or holders of valid Malaysian work authorisation. No sponsorship is provided.

Advantageous

• Proficiency in both English and Mandarin
• Experience in insurance, banking, or another regulated enterprise environment
• Exposure to AI-assisted document workflows, model comparison, or handwriting recognition
• Experience working within a controlled change and approval environment

Working arrangements, please read carefully

• Fully onsite, five days a week. Work from home is not standard.
• After-hours support is required. Production deployments typically begin around 12:00am. Time off or a later start is arranged following night work.
• Weekend availability is required during monthly security patching windows.
• Participation in the annual disaster recovery exercise is mandatory.
• Infrastructure changes are executed through a formal ticketing and approval process. Direct hands-on setup is restricted by compliance policy.
• No company car or parking is provided.