
Cloud Engineer - AVP - Chief Data Office
Hong Kong Exchanges and Clearing
- Shenzhen, Guangdong
- Permanent
- Full-time
- Build and maintain cloud-based Big Data and Analytics Platforms, including Enterprise Data Lake, Data Governance and Management Platforms, Self-service BI and Augmented Analytics Platform, etc.
- Proactively manage production services and data pipelines to ensure service availability and overall system healthiness
- Responsible for building and maintaining CI/CD tools, solutions and micro services to ensure that all meet our customer service standards and reduce errors.
- Responsible for Release management and deploy applications in Production environment following with enterprise standard.
- As requested, need to work on weekend or non-business hours for Production release or urgent change.
- Responsible for Release procedure and quality control, including but not limited to book preparation, stakeholder and business communication etc.
- Incident troubleshooting based on ITIL structure and incident management lifecycle.
- Test system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed.
- Manage code deployments, fixes, updates and related processes.
- Degree in Computer Science, Information System or IT related disciplines.
- Experience in design and implementation experience in different Cloud Service Providers such as AWS, Microsoft Azure, Huawei etc.
- Experience in providing application SME knowledge to support cloud-based system. i.e. Provisioning, Automation, Monitoring, Security, Resilience, Backup and Recovery, etc.
- Understand cloud native application infrastructure, e.g. Server less, Kubernetes (K8S), etc.
- Experience on DevOps and SRE tools, such as Terraform, Ansible, Git, Jenkins, etc.
- Experience on Cloud and on-premise single sign-on and authentication e.g. LDAP, Azure Active Directory and ADFS.
- Hands-on scripting experience in Java and Python.
- Experience in mission critical, high availability, high performance and large-scale systems infrastructure.
- Strong analytical, problem solving, interpersonal and presentation skills.