DevOps Operation Engineer

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