Database Engineer(DBA)

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

11 days ago
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Job summary

Xiaomi Technologies Singapore Pte. Ltd. is seeking a skilled Database Engineer to own the full lifecycle of MySQL, PostgreSQL, Redis, MongoDB, HBase, and HDFS systems—designing, deploying, tuning, and automating for highly available data services.

This role demands strong database architecture skills, experience with clustering and replication, and the ability to collaborate with Mandarin-speaking stakeholders and English-speaking teams across regions in a 24x7 on-call environment.

Qualifications

  • Bachelor’s or higher degree in Computer Science, Information Technology, Programming, Science (Computer Studies), or related discipline.
  • Proficient understanding of TCP/IP, data structures, algorithms, operating systems, networking, database systems, and computer architecture.
  • Basic understanding of database theory and system architecture concepts including indexing, transactions, ACID, MVCC, Raft, sharding, CAP theorem, and high availability.
  • Experience programming in at least one backend language such as Python, Golang, or Java.
  • Ability to communicate effectively in Mandarin to support coordination with Mandarin-speaking stakeholders, teams, and business partners in China and other regional markets, as well as in English for general business communication.

Responsibilities

  • Design and architect database schemas and storage solutions across MySQL, PostgreSQL, Redis, MongoDB, and HBase to meet business requirements.
  • Implement and deploy database clusters, replication, and environment configurations to support operational needs.
  • Monitor database performance and health metrics using proactive alerting and dashboards to detect and resolve incidents such as slow queries, replication lag, connection exhaustion, and data corruption.
  • Optimize query performance, indexing strategies, and resource utilization to improve system efficiency.
  • Maintain database systems through version upgrades, patch management, and backup/recovery testing to ensure long-term stability.
  • Ensure high availability and disaster recovery by designing failover, hot-standby, and multi-region replication architectures.
  • Drive scalability through sharding, partitioning, and capacity planning aligned with business growth objectives.
  • Build end-to-end fault detection, root-cause localization, and self-healing capabilities to minimize business impact.
  • Implement SQL auditing, slow query governance, index optimization, and execution plan analysis to protect database integrity.
  • Design and develop software tools to automate management of large-scale database instances for operational efficiency.
  • Collaborate with application development teams to diagnose performance latency, improve query efficiency, and enhance data reliability across services.
  • Participate in a 24x7 on-call rotation to ensure high availability and promptly resolve critical database issues.

Skills

Python
Golang
Java
Mandarin
English
Database design
Performance tuning

Education

Bachelor’s degree (CS/IT or related)

Tools

MySQL
PostgreSQL
Redis
MongoDB
HBase
HDFS

Job description

Job Summary

We are seeking a skilled and driven Database Engineer to own the full lifecycle of MySQL, PostgreSQL, Redis, MongoDB, HBase, and HDFS systems—designing, deploying, tuning, and automating to ensure highly available, scalable, and reliable mission-critical data services.

Responsibilities
  • Design and architect database schemas and storage solutions across MySQL, PostgreSQL, Redis, MongoDB, and HBase to meet business requirements
  • Implement and deploy database clusters, replication, and environment configurations to support operational needs
  • Monitor database performance and health metrics using proactive alerting and dashboards to detect and resolve incidents such as slow queries, replication lag, connection exhaustion, and data corruption
  • Optimize query performance, indexing strategies, and resource utilization to improve system efficiency and reliability
  • Maintain database systems through version upgrades, patch management, and backup/recovery testing to ensure long-term stability
  • Ensure high availability and disaster recovery by designing failover, hot-standby, and multi-region replication architectures
  • Drive scalability through sharding, partitioning, and capacity planning aligned with business growth objectives
  • Build end-to-end fault detection, root-cause localization, and self-healing capabilities to minimize business impact
  • Implement SQL auditing, slow query governance, index optimization, and execution plan analysis to protect database integrity
  • Design and develop software tools to automate management of large-scale database instances for operational efficiency
  • Collaborate with application development teams to diagnose performance latency, improve query efficiency, and enhance data reliability across services
  • Participate in a 24x7 on-call rotation to ensure high availability and promptly resolve critical database issues
Required competencies and certifications
  • Bachelor’s or higher degree in Computer Science, Information Technology, Programming, Science (Computer Studies), or related discipline
  • Proficient understanding of TCP/IP, data structures, algorithms, operating systems, networking, database systems, and computer architecture
  • Basic understanding of database theory and system architecture concepts including indexing, transactions, ACID, MVCC, Raft, sharding, CAP theorem, and high availability
  • Experience programming in at least one backend language such as Python, Golang, or Java
  • Ability to communicate effectively in Mandarin to support coordination with Mandarin-speaking stakeholders, teams, and business partners in China and other regional markets , as well as in English for general business communication.
Preferred competencies and qualifications
  • Familiarity with Unix/Linux operating systems and networking
  • Experience working with MySQL, Redis, MongoDB, HDFS, and HBase
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