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 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
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 ...
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 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
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