Engineering Manager (.Net)

Urgently hiring for one of our direct client in Malaysia.

Job Title- Engineering Manager

Reporting to Software Engineering Director

Location : GO Centre, Kuala Lumpur (Hybrid)

Core Responsibilities :

Lead and inspire at least 2 engineering squads (approximately 14 engineers) augmented with Devin AI agents

Drive adoption and optimization of AI-assisted development practices within teams

Partner with Product Management to deliver features meeting quality and timeline commitments

Implement and refine Kanban practices to maximize team velocity and predictability

Ensure code quality, technical documentation, and engineering best practices

Collaborate with peer managers and architects on cross-team initiatives

Optimize human-AI collaboration to achieve productivity gains

Foster culture of accountability, innovation, and continuous learning

Conduct performance reviews and career development planning

Technical Requirements :

10+ years of software engineering experience with 5+ years in people management

Strong hands-on expertise in .NET or relevant domain technology stack, AI-native development tools including GitHub Copilot, Cursor, or similar AI coding assistants, with ability to coach teams on prompt engineering and optimize human-AI pair programming workflows

Proficiency in Azure cloud services and cloud-native architectures

Experience with Agile methodologies, specifically Kanban

Knowledge of CI / CD pipelines and DevOps practices

Familiarity with AI-assisted development tools (Devin, Copilot, or similar)

Understanding of microservices architecture and distributed systems

For Accountant Domain : Experience with polyglot environments (Ruby, PHP) is valuable

Ability to conduct code reviews and architectural discussions

Experience with modern software development practices (TDD, pair programming)

Core Competencies & Values :

People Leadership

Build high-performing teams from scratch

Create inclusive, engaging team environment

Develop individual contributors into senior engineers

Manage performance and provide constructive feedback

Foster psychological safety and innovation

Technical Excellence

Maintain hands-on technical credibility

Guide architectural decisions at squad level

Ensure code quality and technical standards

Balance pragmatism with engineering excellence

Champion best practices and continuous improvement

Delivery & Execution

Drive consistent sprint velocity and predictability

Remove blockers and enable team productivity

Manage dependencies and technical risks

Deliver commitments with >

85% predictability

Balance feature delivery with technical health

Innovation & AI Adoption

Lead by example in AI tool usage

Optimize human-AI collaboration workflows

Experiment with new development practice

Drive continuous improvement in productivity

Share learnings across engineering organization

REQUIRED :

Proven track record building and scaling engineering teams

Experience managing teams of 10-20 engineers successfully

Strong technical background with continued hands-on involvement

Excellence in stakeholder communication and expectation management

Growth mindset with passion for learning new technologies

Experience with team formation (forming, storming, norming, performing)

Ability to navigate ambiguity and drive clarity

Enthusiasm for AI-assisted development transformation