Senior DevOps Engineer – CI-CD Monitoring

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Location: Petaling Jaya

Employment type : Contract

Contract Duration : 6 months, extendable up to 1 year.

Working arrangement : Onsite

Salary Range : Max RM10k

Open to : Malaysian or PR

Job Summary

We are seeking an experienced DevOps / Operations Engineer to manage, maintain, and optimize our cloud-native infrastructure, AI platforms, and database environments. In this role, you will be responsible for Kubernetes cluster operations, infrastructure automation, system monitoring, and troubleshooting while collaborating with cross-functional teams to ensure the availability, reliability, and performance of our production services.

Key Responsibilities

• Deploy, manage, monitor, and troubleshoot Kubernetes (K8s) clusters and containerized applications to ensure stable and highly available production environments.


• Design and develop automation scripts and internal tools using Python, Java, or Go to streamline operations and reduce manual effort.


• Administer and maintain database systems, including routine maintenance, performance tuning, backup and recovery, and incident resolution.


• Build, manage, and enhance observability platforms, including logging, metrics collection, monitoring, alerting, and performance analysis.


• Collaborate closely with software development teams to improve CI/CD pipelines, deployment automation, and software delivery processes.


• Perform daily operational health checks, respond to production incidents, conduct root cause analysis (RCA), and implement preventive improvements.


• Continuously optimize infrastructure, system reliability, and operational efficiency through automation and best practices.

Required Qualifications

• Minimum 5 years of experience in DevOps, Site Reliability Engineering (SRE), System Operations, or cloud-native environments.


• Hands-on experience deploying, operating, and troubleshooting Kubernetes clusters in production.


• Proficiency in at least one programming language: Python, Java, or Go.


• Experience supporting AI/ML platforms, services, or related infrastructure.


• Strong understanding of Linux systems, networking fundamentals, and cloud-native technologies.


• Excellent analytical, problem-solving, and troubleshooting skills.

Preferred Qualifications

• Experience with OpenSearch, Grafana, ELK Stack, and Application Performance Monitoring (APM) solutions.


• Familiarity with the Argo ecosystem, including Argo CD and Argo Workflows, for GitOps and workflow orchestration.


• Experience designing and maintaining end-to-end observability platforms and enterprise CI/CD pipelines.


• Knowledge of infrastructure automation and DevOps best practices in cloud-native environments.