Technology Excellence Technical Lead Engineer

Hong Kong 2 hours agoFull-time External
Negotiable
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 #J-18808-Ljbffr