Cloud Deployment Engineer(NOC)

Unison Consulting Pte Ltd; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A technology consulting firm in Kuala Lumpur is seeking a skilled NOC Engineer to monitor and maintain system performance. The ideal candidate will have expertise in Linux system administration, a solid understanding of Kubernetes and virtual machines, and proven experience in troubleshooting application support issues. If you have strong analytical and problem-solving skills, this role is tailored for you.

Qualifications

• Strong expertise in Linux system administration.
• Proven experience in troubleshooting application support issues.
• Hands-on experience with Kubernetes and virtual machines.

Responsibilities

• Monitor and maintain system performance for applications and infrastructure.
• Troubleshoot issues related to database performance and network connectivity.
• Conduct root cause analysis for recurring incidents.

Skills

Linux system administration

Troubleshooting application support issues

Database management and performance tuning

Kubernetes

Virtual machines

Analytical skills

Tools

Monitoring tools

Scripting

Cloud platforms (AWS, Azure, Google Cloud)

Job description

Overview

We are seeking a skilled NOC Engineer with a strong focus on Linux system administration and application support. This role involves troubleshooting a range of issues, including database performance, network connectivity, and deployment failures. The ideal candidate will have hands-on experience with compute platforms such as Kubernetes and virtual machines, along with a solid understanding of various storage solutions. We are looking for high-performance engineers who are curious and capable of solving real-world problems.

Responsibilities

• Monitor and maintain system performance to ensure the stability and reliability of applications and infrastructure.
• Troubleshoot and resolve issues related to database performance, network connectivity, and deployment failures, including diagnosing problems at the underlying platform level (e.g., Kubernetes, virtual machines).
• Ensure that issues are resolved within the stipulated Service Level Agreements (SLAs), maintaining high standards of service delivery.
• Identify and address performance bottlenecks in applications and infrastructure.
• Conduct root cause analysis for recurring incidents to develop long-term solutions.
• Improve monitoring solutions to proactively identify and mitigate issues before they impact services.
• Assist in the deployment and configuration of new applications and services, ensuring adherence to best practices.
• Develop and maintain scripts for automation of routine tasks and monitoring processes.
• Participate in on-call rotations and respond to critical incidents as they arise.
• Analyze system logs and metrics to identify trends and potential areas for improvement.
• Assist in capacity planning and performance tuning to ensure optimal resource utilization.

Qualifications

• Strong expertise in Linux system administration.
• Proven experience in troubleshooting application support issues with a focus on performance and connectivity.
• Solid understanding of database management and performance tuning.
• Hands-on experience with Kubernetes and virtual machines.
• Ability to diagnose and resolve complex technical issues across compute, storage, network, and database components.
• Strong analytical skills and intellectual curiosity; able to question existing processes and understand their implications.
• Self-motivated learner who can operate autonomously with minimal guidance.
• Excellent problem-solving abilities and a proactive approach to identifying and addressing challenges.

Preferred Skills

• Familiarity with monitoring tools and performance optimization techniques.
• Experience in scripting or automation for system administration tasks.
• Knowledge of networking concepts and troubleshooting methodologies.
• Hands-on knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services.
• Familiarity with DevOps practices and frameworks, including CI/CD, infrastructure as code, and containerization.
• Familiarity with Big Data lifecycle (Big Data management / ingestion / processing / visualization) and the corresponding technologies (e.g., HDFS, YARN, Kafka, Spark, Flink, Hive, ELK)