Engineering Manager

What You Do

As Engineering Manager you will lead software engineering teams in developing next-generation AI capabilities and shared enterprise services. You will provide strategic and hands-on leadership for the AI-Know Ecosystem and Shared Modules & API Services ensuring that secure scalable and reusable solutions support the University’s digital transformation. With end-to-end accountability for engineering excellence you will align technology people and delivery with the organisation’s strategic priorities.

Lead and Develop Engineering Teams

• Lead coach and inspire software engineering teams comprising 5 to 10 direct reports.
• Foster a culture of innovation ownership collaboration and technical excellence.
• Mentor engineers strengthen their capabilities and help resolve complex technical challenges.
  

Shape the AI and Engineering Roadmap

• Own and drive the engineering roadmap for the AI-Know Ecosystem and Shared Modules & API Services.
• Evolve AI-Know beyond RAG-based chat into a comprehensive AI platform with reusable capabilities.
• Partner with architecture teams to ensure the technical roadmap is scalable future-ready and aligned with the wider enterprise ecosystem.

Drive Solution Delivery and Engineering Quality

• Direct the end-to-end architecture design and implementation of complex software and AI solutions.
• Manage delivery priorities timelines and resources across concurrent workstreams balancing feature development with technical debt.
• Champion engineering best practices across coding code reviews testing performance assurance and production support.
• Collaborate with product owners and quality assurance teams to translate business needs into reliable high-quality solutions.
  

Strengthen DevSecOps and Operational Excellence

• Partner with DevOps teams to design and integrate automated CI/CD pipelines and deployment processes.
• Embed automated security scanning and security-first practices throughout the software development lifecycle.
• Ensure solutions meet established performance reliability quality and security standards.
  

Engage Stakeholders and Advance Innovation

• Serve as the primary technical point of contact for project teams management and key stakeholders.
• Provide clear data-driven updates on delivery progress technical risks and mitigation measures.
• Monitor emerging AI and engineering trends and champion the responsible adoption of technologies that create value for NUS.

Who You Are

Must Have

Qualifications and Leadership

• A Bachelor’s or Master’s degree in Computer Science Information Technology or a related discipline.
• At least 10 years of experience in software development and engineering leadership including delivery across a minimum of three complete software development life cycles.
• Proven experience building leading and developing multiple engineering teams with direct people-management responsibility.
• Strong strategic thinking problem-solving and risk-management capabilities.
• Effective stakeholder-management and communication skills with the ability to align technical roadmaps and delivery priorities with organisational goals.
• A collaborative hands-on leadership style that fosters accountability innovation and technical excellence.
  

Technical Capabilities

• Strong experience across modern frontend and backend development technologies such as JavaScript/TypeScript Angular or / Core Java or Python.
• Proven expertise in cloud-native development microservices and containerisation.
• Strong knowledge of relational databases including Oracle or SQL Server and experience with modern data stores such as Cosmos DB or vector databases.
• Hands-on experience with AI technologies including Azure OpenAI RAG architectures agentic AI frameworks vector search and prompt engineering.
• Demonstrated ability to translate AI technologies into secure scalable production-grade and reusable services.
• Practical experience with DevSecOps workflows software quality practices and secure software delivery.

Nice to Have

• Working knowledge of Flutter or hybrid mobile application development.
• Familiarity with DevSecOps and observability tools such as Azure DevOps Jenkins Fortify SonarQube or Splunk.
• Experience with test automation performance testing or load testing using tools such as WebdriverIO Katalon or JMeter.

Required Skills:

software engineering leadership software development life cycles people-management strategic thinking problem-solving risk-management stakeholder-management communication skills hands-on leadership JavaScript TypeScript Angular Core Java Python cloud-native development microservices containerisation relational databases Oracle SQL Server Cosmos DB vector databases AI technologies Azure OpenAI RAG architectures agentic AI frameworks vector search prompt engineering secure services development scalable services development production-grade services development reusable services development DevSecOps workflows software quality practices secure software delivery Flutter hybrid mobile application development Azure DevOps Jenkins Fortify SonarQube Splunk test automation performance testing load testing WebdriverIO Katalon JMeter