Head of Engineering or Engineering Director (IT)

KOS International Limited; Hong Kong; Presencial; HKD 1.200.000 - 2.200.000; Jornada completa

Descripción de la vacante

KOS International Limited in Hong Kong seeks a Head of Engineering or Engineering Director to lead product and platform development, mobile apps, CMS, DevOps and quality assurance. You will shape the engineering roadmap, oversee delivery across digital products, AI integration, and ensure secure, scalable services while nurturing engineers and building a culture of accountability.

Strong leadership, cloud, Kubernetes, and modern app tech experience with Mandarin/English will help you partner

Formación

• Degree in Computer Science or a related engineering discipline.
• Experience leading multidisciplinary engineering teams (5+ years).
• Ability to align software development, infrastructure, AI and quality engineering around shared priorities.

Responsabilidades

• Lead application development, infrastructure, AI and QA across digital products.
• Shape the engineering roadmap and oversee delivery with senior business/product leaders.
• Turn AI opportunities into product capabilities with agent-based systems and LLM integration.
• Develop engineering managers and foster a culture of accountability and continuous improvement.

Conocimientos

Leadership

Cross-functional leadership

Strategic planning

Communication

Bilingual English/Chinese

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Kubernetes

Multi-cloud architecture

Infrastructure as Code

CI/CD pipelines

LangChain

LlamaIndex

CrewAI

GraphQL

MongoDB

Elasticsearch

ClickHouse

Descripción del empleo

Head of Engineering or Engineering Director (IT)

About the client

Our client is looking for a Director of Engineering to lead product and platform development, mobile applications, content management systems, DevOps and quality assurance.

About the role

Reporting to the Department Head, you will partner with senior business and product leaders to shape the engineering roadmap and oversee delivery. Your focus will be on scalable platforms, software reliability and practical AI adoption, balancing innovation with disciplined execution. You will lead application development, infrastructure, AI and quality engineering, aligning technical priorities with business goals. This includes guiding teams across digital products, mobile applications and content platforms to deliver secure, resilient services. You will turn AI opportunities into product capabilities through agent-based systems, LLM integration, RAG, vector databases and workflow automation, while strengthening automated testing to improve release confidence. Lastly, develop engineering managers and technical leads, address capability gaps and build a culture of accountability, collaboration and continuous improvement.

The successful candidate

• Degree in Computer Science or a related engineering discipline, with at least 8 years of technology experience, including 5 or more years leading multidisciplinary engineering teams.
• Ability to align software development, infrastructure, AI and quality engineering around shared priorities.
• Practical experience designing and implementing LLM-enabled applications, including agent orchestration, tool calling, RAG and prompt engineering. Familiarity with LangChain, LlamaIndex, AutoGen or CrewAI.
• Strong expertise in Kubernetes, multi-cloud architecture, infrastructure as code and CI/CD pipelines to improve deployment efficiency and operational resilience.
• Experience establishing automated testing and performance assurance across distributed systems, embedding quality throughout the development lifecycle.
• Solid knowledge of DevSecOps, identity and access management, secure code reviews and threat modelling, with awareness of LLM-specific security risks and relevant standards and regulations, including SOC 2, ISO 27001 and GDPR.
• Strong grounding in modern application technologies such as React, Python or Go, with experience in event-driven architecture, serverless computing, REST APIs and platforms such as MongoDB, Elasticsearch, ClickHouse and GraphQL.
• Ability to explain complex technical decisions to senior stakeholders, align priorities and balance platform improvements with business delivery needs.
• Good command of English and Chinese.