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Senior/ Lead Database Administrator

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Onsite

Senior/ Lead Database Administrator

LINE MAN Wongnai

Senior/ Lead Database Administrator

Skills

MongoDBMicroservicesPostgreSQLMySQLRedisGitLabJenkinsGrafanaAWSElasticsearchAnsiblePrometheusLinuxSystem & Network AdministrationDatabase AdministrationTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Bangkok, Thailand

Work mode:

Onsite

Published on:

3 September 2026

What they need


About LINE MAN Wongnai LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.

We are looking for a Senior Database Administrator with expertise in managing and optimizing complex, large-scale database environments. We provide various on-demand services such as food delivery, mart, messenger, and ride services, with over 10 million monthly users relying on our systems that handle massive user traffic 24/7, real-time analytics, and recommendation engines. The role requires exploring and mastering new technologies like Vector Databases to power our next-generation features. While hands-on experience with Vector DBs is a significant plus, we strongly encourage candidates with a deep passion for learning and an unshakeable database foundation to apply.

What you’ll Do:

  • Provide expert-level database administration for LMWN databases, including AWS Aurora (MySQL & PostgreSQL), self-hosted MongoDB (replica sets and sharded clusters), and other database systems.
  • Lead the charge in performance tuning, troubleshooting, and root cause analysis for all database-related incidents, owning problem resolution from investigation to implementation.
  • Design and implement backup, recovery, and high-availability strategies to guarantee business continuity and data integrity.
  • Manage database security, including access control, encryption, and vulnerability assessments to protect sensitive data.
  • Work closely with cross-functional engineering teams to advise on schema design, review schema changes, query best practices, and data modeling.
  • Utilize Grafana, Prometheus, and other monitoring tools to ensure high availability, reliability, and performance across all database environments.
  • Research, evaluate, and deploy new database technologies and features, with a particular focus on the Vector Database landscape, to meet the evolving needs of our products.
  • Maintain comprehensive documentation of the database architecture, configurations, and procedures.

What you’ll Need:

  • 3-5+ years of professional experience in Database Administration, or a related field.
  • Solid understanding of database fundamentals, including indexing, replication, and query optimization.
  • Extensive experience in the administration of cloud-based databases, particularly Amazon RDS and Aurora (MySQL or PostgreSQL).
  • Strong proficiency in troubleshooting complex database issues in a high-traffic production environment.
  • Solid experience with Linux system administration.
  • Experience working with applications built on microservice architectures.
  • Proactive, initiative, and eager to learn and apply new technologies.

It’d be great if you have:

  • Experience with or knowledge of Vector Databases (e.g., Milvus) is a significant plus. (Candidates with a strong passion for learning and a solid database foundation are strongly encouraged to apply).
  • Hands-on experience with large-scale, self-hosted MongoDB (replica sets, sharding) is an advantage.
  • Experience with analytical databases or search technologies such as ClickHouse
  • Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible.

Our Tech Stack:

  • Databases: MongoDB, MySQL, PostgreSQL, Elasticsearch, Redis, Milvus, ClickHouse
  • Cloud: AWS and Verda (LINE's Private Cloud)
  • Infrastructure as Code: Terraform, Ansible
  • CI/CD: Jenkins, GitLab CI
  • Monitoring: Prometheus, Grafana, and Percona Monitoring and Management (PMM)

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