Database Engineer(DBA)

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

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.

You will design, deploy, tune, and automate to ensure highly available, scalable, and reliable data services that power critical applications across regions. The role requires strong architecture and optimization skills, experience with distributed databases, and the ability to work in a global team.

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 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.

Skills

TCP/IP

Data structures

Algorithms

Operating systems

Networking

Database systems

Python

Golang

Java

Mandarin communication

English communication

Education

Bachelor's degree in CS/IT

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