Olive Tree search
Engineering Manager
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
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.
Full description
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.