-Work directly with global lead of involved value stream, to ensure the team he/she leads would work towards the right direction and report the team’s delivery into the global lead.

-Lead a team of around 8 people, to provide full scope of the day-to-day production service support, including resolution of the live incidents, post-resolution problem management activities, user queries and regular service maintenance.

-Proactively participate in a rapid service recovery from production incident, including driving involved parties for right progress that fits the requirements for Tier 0 services in incident management.

-Provide timely incident communication internally and externally as required.

-Maintain a healthy relationship with key stakeholders (e.g. business team, development leads, other regional leads of involved services support, etc.), to lubricate the collaboration among the teams.

-Provide technical expertise in finding root cause of major system problems.

-Work as the owner of production environment, participate in the review of various changes deployment and related post implementation verifications.

-Lead the team to realize operational efficiency, this includes automating repeated manual work, review, design and re-engineer monitoring rules with new technologies to improve the efficiency of daily application support, etc.

-Contribute productively to the team's objectives, sometimes supporting and sometimes leading activities to achieve shared goals.

-University Degree in Computer Science, Information Technology or a relevant discipline.

-Excellent leadership and communication skills (in both English and Chinese), track records of leading service stability improvements and delivering operational efficiency solutions.

-Knowledgeable cross domains and able to operate a global level solving complex, mission critical problems.

-Demonstrable experience of distributed compute, Linux, Oracle /Postgres (including SQL coding), WebSphere, MQ, Java, and cloud Native Technologies like Kubernetes, Docker, Kafka.

-Working knowledge of infrastructure, networks, load balancers, storage – cloud & containers highly beneficial.

-Experience with broad range of technologist tools, e.g. Application Performance Monitoring - App Dynamics, Log Aggregation – Splunk, etc.

-Strong understanding of core Service Management disciplines.

-Excellent technical debugging and trouble shooting skills.