Engineering Manager

Our client is seeking a hands-on Engineering Manager to lead the evaluation, prototyping and delivery of technology solutions whom is comfortable also as an Individual Contributor.

The ideal candidate combines strong technical judgement with a willingness to build. You should be comfortable operating in ambiguous environments, making pragmatic engineering trade-offs and working across technical and business teams.

This builder-leader role combines technical leadership, solution architecture and hands-on development. You will take initiatives from problem definition and rapid prototyping through pilot delivery and production implementation.

Key Responsibilities

• Evaluate emerging technologies, including but not limited to AI, generative AI, automation and cloud-native solutions.
• Translate business challenges into technical concepts, prototypes and delivery plans.
• Build or lead the development of rapid prototypes and technical demonstrators.
• Define solution architectures covering applications, APIs, data, cloud, integration and security.
• Lead proof-of-concept and pilot initiatives, including technical scope, success measures and delivery governance.
• Assess technical feasibility, architecture trade-offs, implementation risks and production readiness.
• Manage technical delivery across internal teams, vendors and technology partners.
• Establish engineering practices across testing, DevSecOps, observability, documentation and source-code management.
• Support successful solutions through productisation and production deployment.
• Coach engineers and communicate technical recommendations to senior stakeholders.

Requirements

• Minimum Degree in Computer Science, Software Engineering or a related discipline.
• At least 10 years of experience in software engineering, architecture, cloud engineering.
• Experience leading engineers or complex technical workstreams.
• Recent hands-on experience building prototypes or production software.
• Proficiency in at least one modern programming language, such as Python, TypeScript, Java, C# or Go.
• Strong knowledge of cloud architecture, APIs, integration, data, identity and security.
• Practical experience with AWS, Azure, Google Cloud or another major cloud platform.
• Working knowledge of AI and generative AI, including practical applications, limitations and risks.
• Experience progressing technology initiatives from concept through pilot and production.
• Strong stakeholder management and communication skills.

Preferred Experience

• Experience delivering solutions in complex or regulated environments.
• Experience managing technology vendors or outsourced engineering teams.
• Experience implementing AI-enabled solutions.
• Familiarity with modern DevSecOps and secure engineering practices.

For more information you can contact Norean Tan at [Confidential Information]

We regret to inform you that only shortlisted candidates will be notified / contacted.

EA Registration No.: R1434118 - Tan Lee Ying, Norean

iKas International (Asia) Pte Ltd

ROC No.: 200914065E | EA License No.: 16S8086