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DevOps Engineer

Lavu Tech Solutions Sdn Bhd — Malaysia · Posted ~3 hours ago

Senior Onsite

Skills

Kubernetes Python Java Go Database administration CI/CD Observability Incident management Root cause analysis Cloud-native systems Databases Containers

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Summary ✨ AI‑Generated

A locally based DevOps engineer is sought to operate stable production environments and improve cloud-native delivery. You will manage Kubernetes clusters and containerized workloads, build automation with Python, Java, or Go, maintain databases, develop observability systems, optimize CI/CD workflows, and handle incidents and root-cause analysis.

Highlights

Opportunities are available for both junior and senior DevOps professionals. The role covers Kubernetes operations, automation, databases, observability, CI/CD optimization, incident response, and continuous infrastructure improvement.

Description

Looking for someone available locally. Please do not proceed if you are from overseas. Junior (2-3 years) and Senior (5+ years) are open. Key Responsibilities • 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. • Good understanding of Linux, networking and cloud-native architecture. • Strong problem-solving and troubleshooting skills. Preferred Skills • Experience with OpenSearch, Grafana, ELK Stack, and APM tools. • Familiarity with Argo ecosystem (ArgoCD, Argo Workflows) for GitOps and orchestration. • Experience building end-to-end observability platforms and CI/CD pipelines.