DevOps Engineer (MongoDB & MYSQL)

OOCL

Hong Kong

On-site

HKD 420,000 - 660,000

Full time

14 days+

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Job summary

OOCL in Hong Kong seeks a Database & System Support professional to manage enterprise databases, emphasizing MongoDB and MySQL, with automation using Ansible and Rundeck. You will also support Oracle, Milvus, GraphDB, and other distributed platforms, plus Kubernetes workloads integrated with ArgoCD for GitOps.

Strong DevOps mindset and willingness to explore AI-driven operations are essential. This role offers exposure to large-scale enterprise environments and cutting-edge automation tools to

Qualifications

  • University degree in Information Technology or related field.
  • Hands-on experience with MongoDB and MySQL in enterprise environments.
  • Experience with Oracle Database and distributed data platforms is a plus.

Responsibilities

  • Administer, maintain, and optimize enterprise databases with focus on MongoDB and MySQL.
  • Implement automation using Ansible, Rundeck, and other DevOps tools.
  • Support and operate additional data platforms including Oracle, Milvus, GraphDB, and related systems.
  • Operate workloads on Kubernetes with ArgoCD integration for GitOps workflows.
  • Troubleshoot incidents, performance issues, and degradation using traditional methods and AIOps tools.
  • Perform capacity planning, performance tuning, and platform optimization.
  • Implement and support Disaster Recovery environments and participate in DR drills.
  • Evaluate new technologies and automation tools including AI-related databases and platforms.
  • Develop AI orchestration frameworks and LLM-assisted operational tooling to boost reliability.

Skills

MongoDB
MySQL
Oracle
Kubernetes
ArgoCD
Ansible
Rundeck
AIOps
CI/CD

Education

Information Technology degree

Job description

  • You will be a core member of our Database & System Support Team to implement, operate, and support mission‑critical enterprise databases and data platforms.
  • This role provides a unique opportunity to work with large‑scale enterprise environments, modern database technologies, and DevOps‑driven automation initiatives — with increasing exposure to Agentic AI frameworks, AI‑powered operations (AIOps), and intelligent automation that elevates the reliability and performance of our platforms.
Your Role
  • Administer, maintain, and optimize enterprise databases with primary focus on MongoDB and MySQL.
  • Implement automation using Ansible, Rundeck, and other DevOps tools,
  • Support and operate additional data platforms, including Oracle Database, Milvus, GraphDB, and related distributed systems.
  • Operate and support workloads running on Kubernetes with integration of ArgoCD for GitOps workflow.
  • Troubleshoot and resolve database-related incidents, performance issues, and service degradation using both traditional techniques and emerging AIOps tools.
  • Perform capacity planning, performance tuning, and platform optimization.
  • Implement and support Disaster Recovery environments and participate in DR drills.
  • Evaluate new technologies and automation tools — including new Databases, AI related databases.
  • Development on AI orchestration frameworks, Agentic AI tools, and LLM‑assisted operational platforms — to enhance system reliability and operational efficiency.
Who We Are Looking For
  • University graduates in Information Technology or related discipline.
  • Minimum 3 years of experience in IT operations or database administration, preferably with hands‑on exposure to MongoDB and MySQL.
  • Experience with Oracle Database, Milvus, GraphDB, or other distributed data platforms is an advantage.
  • Experience with container‑based deployments, Kubernetes, and ArgoCD is advantageous.
  • Experience in enterprise DevOps automation using Ansible, Rundeck, or similar tools is preferred.
  • Knowledge of Disaster Recovery design and operations is an advantage.
  • Strong initiative, willingness to learn, and ability to adapt to new technologies including open‑source solutions and hybrid‑cloud environments.
  • Proficient spoken and written English, Cantonese, and Mandarin are an advantage.
  • Candidates with less experience will also be considered for junior positions.

OOCL is an Equal Opportunity Employer. OOCL will retain the personal data of applicants/ unsuccessful applicants for future recruitment purpose for a period of six months. All personal data will be destroyed immediately right after the abovesaid period.

(Data collected will be used for recruitment purpose only.)

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