AVP, Site Reliability Engineer, Chief Data Office

Location:

CN-Shenzhen-HyQ

Shift:

Standard - 40 Hours (China)

Scheduled Weekly Hours:

40

Worker Type:

Permanent

Job Summary:

The AVP under Site Reliability Engineering (SRE) in the Chief Data Office plays a critical role in maintaining and enhancing the reliability, performance, and scalability of our enterprise data platform. This position ensures the stability of production, testing, and development environments that support Big Data and Analytics initiatives. You will leverage expertise in DevOps practices, Infrastructure as Code, and Kubernetes Architecture to drive automation, streamline operations, and proactively resolve system issues. A strong background in managing cloud-based, large-scale data infrastructure is essential, along with advanced Python scripting skills for automation and infrastructure management.

Job Duties:

Job Duties

• 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 Platforms
• Proactively managing production services and data pipelines to ensure availability and system health
• Improve system reliability through engineering solutions and advanced tooling for monitoring, automation, and fault tolerance
• Develop and maintain CI/CD tools, microservices, and solutions to meet customer service standards and minimize errors
• Manage release procedures and quality control, including documentation and stakeholder communication
• Troubleshoot incidents following ITIL structure and incident management lifecycle
• Test system integrity, application designs, and infrastructure processes, implementing improvements as needed
• Oversee release management and deploy applications in production environments in line with enterprise standards
• Support production releases or urgent changes during weekends or non-business hours as needed

Key Responsibilities

• Ensure high availability and performance of Big Data infrastructure
• Maintain secure, resilient, and scalable cloud environments
• Drive automation and continuous improvement across infrastructure and deployment pipelines
• Own stakeholder communication to ensure transparency and alignment during release cycles and critical incidents

Mandatory Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related IT disciplines
• Exceptional Python programming and scripting skills, with hands-on experience using Python for automation, infrastructure, and data-related tasks.
• Experience with major Cloud Service Providers (AWS, Huawei).
• Expertise in cloud-based system support: provisioning, automation, monitoring, security, resilience, backup and recovery.
• Familiarity with cloud-native infrastructure (e.g., Serverless, Kubernetes).
• Proficiency in DevOps and SRE tools (Terraform, Ansible, Git).
• Background in mission-critical, high-performance, large-scale systems.
• Strong analytical, problem-solving, interpersonal, and presentation skills.
• Fluent in written and spoken English and Chinese.

Preferred Skills

• Experience with observability and monitoring tools such as Grafana, Kibana, Prometheus, or equivalent

• Exposure to advanced alerting and dashboarding for system health and performance

• Familiarity with log aggregation and distributed tracing tools (e.g., ELK stack)

Company Introduction:

ITD SZ

港交所科技（深圳）有限公司，是2016年12月28日于深圳市前海自贸区成立的外商独资企业。

作为港交所的技术子公司，港交所科技（深圳）有限公司主要是为集团及其附属公司提供计算机软件、计算机硬件、信息系统、云存储、云计算、物联网和计算机网络的开发、技术服务、技术咨询、技术转让；经济信息咨询、企业管理咨询、商务信息咨询、商业信息咨询、信息系统设计、集成、运行维护；数据库管理、大数据分析；以承接服务外包方式提供系统应用管理和维护、信息技术支持管理、数据处理等信息技术和业务流程外包服务。