We are looking for an experienced Operation Engineer to manage, maintain, and optimize our cloud-native infrastructure, AI-related services, and database systems. The successful candidate will collaborate with cross-functional teams to ensure the high availability, stability, and performance of our online services. Job Description: · Deploy, operate, monitor, and troubleshoot Kubernetes clusters and containerized workloads. · 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, recovery, and fault resolution. · Build and maintain observability systems for log collection, metrics monitoring, and performance tracking. · Collaborate with development teams to optimize CI/CD workflows and improve delivery efficiency. · Perform daily system checks, incident handling, and root cause analysis. · Complexity of Cloud-Native Infrastructure: Managing and troubleshooting Kubernetes clusters and containerized workloads is inherently complex, requiring constant vigilance to ensure stability in production environments. · Maintaining Observability: Building and maintaining systems for log collection, metrics monitoring, and performance tracking across a distributed environment is a significant ongoing technical task. · Database Management: Beyond just maintenance, the role involves complex performance tuning, backups, and recovery, which are critical to data integrity and system availability. · Optimizing CI/CD Workflows: Balancing the need for rapid software delivery with stability is a core DevOps challenge. The engineer must collaborate with development teams to ensure pipelines are efficient, reliable, and do not introduce errors into production. · Skill Breadth & Adaptation: The need to maintain AI/ML infrastructure alongside traditional databases and cloud services requires a broad, high-level technical skillset and the ability to stay updated with rapidly evolving technology. · Root Cause Analysis: Moving beyond "patching" issues to performing deep root cause analysis (RCA) is required to implement long-term optimization plans rather than just treating symptoms. Requirement: · Strong 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. · Experience with OpenSearch, Grafana, ELK Stack, APM tools, and the Argo ecosystem are preferred The Package: - Attractive Salary: RM6000 up to RM 12000 - Performance related allowance for confirmed staff - Medical Insurance provided - Working location: Bangsar [APPLY](https://careerspage.io/scicom/devops-operation-engineer-sc424/apply)