DevOps Engineer
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Summary
A DevOps engineer who deploys, operates, monitors and troubleshoots Kubernetes clusters and containerised workloads, writes automation tooling in Python/Java/Go, and maintains databases and observability systems. Day to day includes CI/CD optimisation with dev teams, incident handling and root cause analysis for production environments.
- 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.