Senior DevOps Engineer

Pride Global; Selangor; On-site; MYR 102,000 - 122,000; Part time

Job summary

Pride Global seeks an experienced DevOps / Operations Engineer to manage cloud-native infra, AI platforms, and databases. You will oversee Kubernetes clusters, automation, and system monitoring to ensure reliability and performance of production services, while collaborating with cross‑functional teams.

The role emphasizes Kubernetes operations, automation using Python/Java/Go, and strong focus on observability, incident response, and optimization of CI/CD pipelines.

Qualifications

• Minimum 5 years of experience in DevOps, SRE, or cloud-native environments.
• Hands-on experience deploying and operating Kubernetes clusters in production.
• Proficiency in at least one programming language: Python, Java, or Go.
• Experience supporting AI/ML platforms or related infrastructure.
• Strong Linux, networking, and cloud-native fundamentals.
• Excellent analytical, problem-solving, and troubleshooting skills.

Responsibilities

• Deploy, monitor, and troubleshoot Kubernetes clusters and containerized apps to ensure highly available production environments.
• Design and develop automation scripts and tools using Python, Java, or Go to streamline operations.
• Administer and maintain database systems, including maintenance, performance tuning, backup and recovery, and incident resolution.
• Build and enhance observability platforms with logging, metrics, monitoring, alerting, and performance analysis.
• Collaborate with software teams to improve CI/CD pipelines and deployment automation.
• Perform daily health checks, respond to incidents, conduct RCA, and implement preventive improvements.
• Continuously optimize infrastructure and operational efficiency through automation and best practices.

Skills

Analytical thinking

Troubleshooting

Team collaboration

Tools

Kubernetes

Python

Java

Go

OpenSearch

Grafana

ELK Stack

APM

Argo CD

Argo Workflows

Job description

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.