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Chief Technology Officer

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Onsite

Chief Technology Officer

Private Advertiser

Chief Technology Officer

Skills

Google Cloud PlatformTesting & QAMicroservicesMachine LearningAIAWSKubernetesBudgetingComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

20 August 2026

What they need


Key Responsibilities

  • Define and execute the technology strategy, architecture roadmap and technology investment priorities.
  • Lead software engineering across architecture, development, QA, DevOps, cloud infrastructure and release management.
  • Drive modern engineering practices including cloud-native architecture, microservices, Kubernetes, CI/CD, automation and observability.
  • Provide technology leadership for client projects, solution architecture, pre-sales, RFP/RFQ responses and technical proposals.
  • Lead the company’s AI, data and automation strategy, taking use cases from POC through to production.
  • Build and scale a high-performing engineering, architecture and data organisation.
  • Manage technology budgets, vendors, cloud spend, engineering KPIs and overall delivery efficiency.
  • Own technology security, cyber resilience, business continuity, disaster recovery and compliance.
  • Ensure alignment with PDPA, ISO/IEC 27001 and relevant industry or regulatory requirements.
  • Act as a trusted technology advisor to C-level clients, partners and the Board.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, IT or a related field.
  • 20–25 years of technology experience, with at least 7–10 years in senior technology leadership.
  • Proven experience building and scaling engineering teams of 40+ professionals.
  • Strong technical background in cloud platforms (AWS, Azure or GCP), APIs, microservices, containers/Kubernetes and modern software engineering.
  • Experience delivering enterprise technology projects and/or commercial software products, including solution architecture and pre-sales.
  • Proven experience delivering AI/ML, generative AI or data platforms into production.
  • Strong commercial, budgeting, vendor management and stakeholder management skills.
  • Excellent communication skills in English and Bahasa Malaysia, with the ability to engage C-level stakeholders and Board members.

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