Cloud Deployment Engineer(NOC)

1 week ago

Kuala Lumpur, Kuala Lumpur, Malaysia Unison Group Full time

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.

Key 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.

Requirements

  • 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)

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