Job Description

Cloud Deployment Engineer who’s passionate about Linux systems and thrives on solving complex problems. In this role, you’ll dive into a variety of challengesfrom fine-tuning database performance and fixing network hiccups to troubleshooting deployment issues. You’ll get hands-on experience with modern compute platforms like Kubernetes and virtual machines, while also working with different storage technologies. 

Job Requirements

 Day-to-day Duties

• 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. 

Successful candidates shall possess:

• Strong expertise in Linux System Administration and/or Linux Operating System platform
• Major Linux distributions (Ubuntu, Red Hat) in System Admin role
• 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.
• Rotational shift schedule across different time slots, with reasonable schedules shared in advance.
• Able to communicate effectively in Mandarin. This role involves daily communication with Mandarin-speaking clients.
  

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)
• Completed professional certifications, such as:
• Red Hat: Red Hat Certified System Administrator (RHCSA), Red Hat Certified Engineer (RHCE)
• Kubernetes: Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)
• Cloud-related certifications (e.g. AWS, Azure, Google Cloud)
  
  

Skills