Engineering Manager

Olive Tree search; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Olive Tree search is seeking an Engineering Manager to lead software teams developing AI capabilities and shared services for a university ecosystem. You will provide strategic and hands-on leadership to align technology, people, and delivery with strategic priorities.

You will shape the AI-Know roadmap, drive secure, scalable platforms, and collaborate with architecture teams to ensure future readiness and integration across the enterprise.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology or related discipline.
• 10+ years of software development and engineering leadership experience, with delivery across at least three complete SDLCs.
• 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, aligning roadmaps with organisational goals.
• Hands-on, collaborative leadership that drives accountability, innovation and excellence.

Responsibilities

• Lead and coach software engineering teams (5–10 direct reports).
• Own and drive the engineering roadmap for the AI-Know Ecosystem and Shared Modules & API Services.
• Direct end-to-end architecture, design and delivery of complex software and AI solutions.
• Manage delivery priorities, timelines and resources across concurrent workstreams.
• Champion DevSecOps, testing practices and secure production delivery.
• Engage with product owners and QA to translate business needs into high-quality solutions.

Skills

Leadership

Stakeholder mgmt

AI technologies

DevSecOps

Cloud-native

Frontend & Backend

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Azure DevOps

Jenkins

Fortify

SonarQube

Splunk

Job 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.

Who You Are

MustHave

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 React, .NET/ASP.NET Core, Java, Node.js 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.

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