Technology Excellence Technical Lead / Engineer, Information Technology Group
Technology Excellence Technical Lead / Engineer, Information Technology Group Responsibilities:
- Agile Project Leadership
- Act as Scrum Master: Facilitate Agile ceremonies, manage backlogs, and ensure delivery using Jira/Confluence
- Lead cross-functional teams, manage risks, and ensure timely delivery
- Intelligent Technology Development
- Design and implement scalable systems such as automation, predictive analytics, and cloud pipelines using open-source tools (e.g., Kubernetes, Dify, n8n)
- Ensure system security, compliance, and governance across the development lifecycle
- Vendor & Procurement Leadership
- Lead vendor selection and procurement: develop business cases, conduct ROI analysis, and manage RFP processes
- Collaborate with stakeholders to align technical solutions with business objectives
- BAU Support & Compliance Management
- Provide ongoing system support, troubleshoot issues, and implement enhancements
- PEnsure compliance with internal policies and regulatory standards
- Innovation & Continuous Learning
- Research emerging technology trends (e.g., generative AI, LLMs, Agentic AI); pilot new tools and frameworks
- Promote a culture of learning through workshops, documentation, and knowledge sharing
- Project Strategy Presentation
- Present project strategies, roadmaps, and progress updates to senior stakeholders and business partners
- Translate technical insights into strategic narratives that support business transformation goals
- Cross-Functional Execution
- PTake on responsibilities across Project Management, Business Analysis, Development, and QA
- Lead full-cycle delivery from ideation to production
Requirements: Experience:
- 1+ year of experience in intelligent systems or AI-related technologies (for Engineer role).
- 10+ years of experience in technical development, system architecture, and troubleshooting (for Technical Lead role)
Technical Skills:
- Proficient in Python, cloud platforms (AWS/Azure/GCP), containerization (Kubernetes), and CI/CD pipelines
- Experience with MLOps, data pipelines, and scalable infrastructure design
- Knowledge of open-source automation tools (e.g., Dify, n8n, Airflow) is advantageous
Mindset & Soft Skills:
- Self-driven learner with adaptability to evolving technology trends
- Strong communication and stakeholder engagement skills, including the ability to present and articulate project strategies
- Resilient and collaborative in fast-paced, iterative environments
Education/Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related field
- Agile (CSM/PSM), cloud, or AI/ML certifications preferred
Language:
- Fluency in English and Cantonese
- Mandarin is a plus