Distributed DB & Storage Engineer (PB-scale)

BIPO SERVICE (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

BIPO Service (Singapore) Pte. Ltd. is seeking a seasoned database and storage systems engineer to design, implement, and operate large-scale distributed platforms across multiple data centres.

The role emphasizes reliability, scalability, and performance, requiring strong hands-on experience with systems languages and core distributed technologies, plus mentoring and cross-team collaboration to deliver robust data infrastructure.

Qualifications

• Bachelor's degree or higher in Computer Science or related field.
• 3+ years of production experience designing, building, and operating large-scale distributed database/storage systems.
• Strong knowledge of distributed systems fundamentals (CAP, consensus, replication, fault tolerance).
• Hands-on production experience with one or more: MySQL, Redis, HDFS, Elasticsearch, HBase.

Responsibilities

• Design, implement, monitor, maintain, troubleshoot, and optimize large-scale database and storage systems.
• Research, design, and develop software for distributed DB/storage platforms across data centres.
• Update software and develop testing procedures including performance and data-integrity tests.
• Collaborate with engineers to resolve performance issues and define performance requirements.
• Build tools, automation, visualizations, and monitors for global infrastructure.
• Establish runbooks, SLO/SLI frameworks, and on-call practices for the DB/storage team.
• Mentor junior engineers and lead code reviews and knowledge transfer.

Skills

Distributed systems fundamentals

Systems languages

Database performance tuning

Education

Bachelor's degree in CS or related

Tools

MySQL

Redis

HDFS

Elasticsearch

HBase

Job description

BIPO Service (Singapore) Pte. Ltd. is seeking a seasoned database and storage systems engineer to design, implement, and operate large-scale distributed platforms across multiple data centres.

The role emphasizes reliability, scalability, and performance, requiring strong hands-on experience with systems languages and core distributed technologies, plus mentoring and cross-team collaboration to deliver robust data infrastructure.