DevOps Engineer

• Deploy, operate, monitor and troubleshoot Kubernetes (K8s) clusters and containerised workloads to ensure stable production environments.
• Develop automation scripts and internal tools using Python, Java or Go to reduce manual workload.
• Manage and maintain databases, including routine maintenance, performance tuning, backup and recovery, and fault resolution.
• Build and maintain observability systems, including log collection, metrics monitoring and performance tracking.
• Collaborate with development teams to optimise CI/CD workflows and improve delivery efficiency.
• Perform daily system checks, incident handling, root cause analysis, and implement optimisation plans.

• Deploy, operate, monitor and troubleshoot Kubernetes (K8s) clusters and containerised workloads to ensure stable production environments.
• Develop automation scripts and internal tools using Python, Java or Go to reduce manual workload.
• Manage and maintain databases, including routine maintenance, performance tuning, backup and recovery, and fault resolution.
• Build and maintain observability systems, including log collection, metrics monitoring and performance tracking.
• Collaborate with development teams to optimise CI/CD workflows and improve delivery efficiency.
• Perform daily system checks, incident handling, root cause analysis, and implement optimisation plans.

Required Qualifications & Core Skills

• Minimum 5 years of experience in DevOps, system operations, or cloud-native environments.
• Hands-on experience deploying, managing and troubleshooting Kubernetes clusters.
• Proficiency in at least one programming language: Python, Java or Go.
• Experience operating or maintaining AI/ML systems and related infrastructure.
• Fluent Mandarin for daily communication and strong English for documentation.
• Good understanding of Linux, networking and cloud-native architecture.
• Strong problem-solving and troubleshooting skills.