Site Reliability Engineering Architect

• Strong hands-on experience across SRE, DevOps, or system architecture environments with successful project delivery
• Practical expertise in observability tools (e.g. Dynatrace, Prometheus, Grafana, ELK Stack)
• Experience with automation frameworks (e.g. Ansible, Jenkins) and scripting/programming for tooling and process automation
• Solid understanding of AI/ML-driven observability, including predictive analytics and anomaly detection
• Strong problem-solving mindset with a focus on data-driven decision making
• Ability to communicate clearly and effectively with both technical and non-technical stakeholders
• Collaborative approach with a strong sense of ownership and continuous improvement

• Proficiency in spoken and written Cantonese and English

Why This Role Matters:

This role is pivotal in shaping highly resilient, scalable systems that power seamless customer experiences across our O+O (Offline + Online) ecosystem. By leveraging observability and automation, you will help ensure systems are always reliable, insights are proactive, and incidents are resolved swiftly - ultimately putting a smile on customers' faces. Working at the intersection of engineering and operations, you will drive a customer-focused, data-driven approach to reliability, enabling the business to innovate faster while maintaining operational excellence.

What You'll Be Doing:

• Design and own end-to-end observability frameworks (metrics, logs, traces) to deliver deep system visibility and insights
• Architect highly resilient, scalable systems to support a seamless O+O business model
• Champion observability best practices and embed monitoring into infrastructure and application layers
• Develop automation solutions to reduce manual effort, improve reliability, and optimise resource utilisation
• Leverage data, AI and anomaly detection to proactively identify and resolve system issues
• Collaborate with cross-functional teams and technical partners to evaluate tools, run PoCs, and implement new capabilities
• Lead, coach and mentor team members, fostering a strong culture of collaboration, innovation and continuous improvement
• Drive a scientific, data-driven approach to system performance analysis and decision-making

• Improve system reliability and reduce downtime through proactive monitoring and automation
• Accelerate incident detection and resolution, enhancing customer experience across digital and physical touchpoints
• Enable smarter, faster engineering decisions through real-time insights and analytics
• Strengthen cross-team collaboration and drive consistent observability practices across the organisation
• Increase operational efficiency by reducing manual work and optimising system performance
• Build a future-ready, intelligent infrastructure that supports innovation at scale