Cloud Deployment Engineer (NOC)

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.

Cloud Deployment Engineer (NOC)

Overview:

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.

Qualifications:

Strong expertise in Linux system administration.
Proven experience in troubleshooting application support issues with a focus on performance and connectivity.
Experience in Bash/Shell scripting or automation for system administration tasks.
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.
Open to a rotational shift schedule across different time slots, with reasonable schedules shared in advance.
Able to communicate effectively in Mandarin would be an added advantage.

Preferred Skills:

Familiarity with monitoring tools and performance optimization techniques.
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)
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.
Experience in Bash/Shell scripting or automation for system administration tasks.
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.
Open to a rotational shift schedule across different time slots, with reasonable schedules shared in advance.
Able to communicate effectively in Mandarin would be an added advantage.

Preferred Skills:

Familiarity with monitoring tools and performance optimization techniques.
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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