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DevOps Engineer

QIMA · Shenzhen, Guangdong Province, China

Software DevelopmentSenior LevelExternal listingfull-time21 days ago

About The Role

  1. Support DevOps / Infrastructure Operations execution for production systems,
  •   including release support, deployment automation, monitoring, troubleshooting, and
  •   recurring operational tasks.
  •   2. Maintain and improve infrastructure-as-code practices using Terraform, following
  •   the team’s existing standards, review process, and git branching model.
  •   3. Develop and maintain automation scripts and tools, mainly using Shell and Python,
  •   to improve deployment, update, monitoring, and operational efficiency.
  •   4. Support AWS / Azure cloud operations, including infrastructure changes, access /
  •   configuration updates, reliability improvements, and cost / performance optimization
  •   follow-up.
  •   5. Operate and troubleshoot Docker and Kubernetes-based production environments,
  •   including deployment issues, workload health, scaling, rollback, and incident
  •   support.
  •   6. Participate in production incident diagnosis, root cause analysis, post-incident
  •   follow-up, and preventive improvement actions.
  •   7. Support observability practices using tools such as Prometheus, Grafana, and ELK,
  •   including monitoring coverage, alert quality, dashboard improvement, and log
  •   analysis.
  •   8. Prepare and maintain runbooks, SOPs, technical documentation, and handover
  •   materials to ensure operational continuity.
  •   9. Work closely with the existing DevOps / Infrastructure owner for priority
  •   alignment, architecture review, production change planning, and stakeholder
  •   communication.
  •  
  • Technical requirements: 
  •   1. Bachelor’s degree in Computer Science, Engineering, or a related technical field,
  •   or equivalent practical experience.
  •   2. 5+ years of experience in infrastructure, cloud operations, DevOps, distributed
  •   systems, or cloud migration.
  •   3. Strong Linux operation and troubleshooting skills, with solid understanding of
  •   networking fundamentals.
  •   4. Hands-on experience with Shell scripting and Python for automation, with clean and
  •   maintainable coding practices.
  •   5. Practical experience with AWS and/or Azure core services and cloud operations.
  •   6. Hands-on experience with Terraform in production environments; multi-cloud experience is a plus.
  •   7. Experience with Docker and Kubernetes in production environments, including
  •   troubleshooting, deployment, scaling, rollback, and operational support.
  •   8. Experience with CI/CD pipelines and application release automation.
  •   9. Familiarity with observability tools such as Prometheus, Grafana, ELK, or similar monitoring / logging platforms.
  •   10. Good documentation habits and willingness to work with runbooks, SOPs, tickets,
  •   and change records.
  •   11. Familiarity with Ansible, disaster recovery, resilience testing, or incident
  •   response automation
  •  

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