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Cloud Deployment Engineer ( Remote / Hybrid)

Cloud Deployment Engineer ( Remote / Hybrid)

Hiredly XKuala Lumpur, Kuala Lumpur, Malaysia
3 hari lalu
Penerangan pekerjaan

Our client is a leading global professional services firm providing audit, consulting, tax, and advisory services to help organizations drive growth and innovation.We are seeking a skilled CDE 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.

  • 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.

(Apply now at #J-18808-Ljbffr

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