QA Automation Engineer - Backend & Frameworks

Group-IB

Singapore

On-site

SGD 67,000 - 100,000

Full time

26 hours ago
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Job summary

Group-IB is hiring a QA Engineer in Singapore to strengthen our automated testing capabilities. You will design and implement automation frameworks, validate REST APIs and backend integrations, and work with ELK-based data analysis to improve system stability and reliability.

Ideal candidates have hands-on Pytest or equivalent, experience with databases, and a passion for building scalable, high-load testing solutions in a cybersecurity-focused environment.

Qualifications

  • Proven experience in QA automation, with a focus on building automation frameworks.
  • Strong background in backend testing (REST API, MQ, mock testing, server integrations).
  • Experience with databases (relational, NoSQL, columnar).
  • Experience testing high-load systems.
  • Strong analytical and problem-solving skills.
  • Automation principles and automation-driven testing.
  • Hands-on experience with Pytest or other test frameworks.

Responsibilities

  • Prepare and maintain up-to-date test configurations.
  • Identify, reproduce, verify, and resolve defects encountered during testing.
  • Generate detailed test reports summarizing test execution results, including identified defects, test coverage metrics, and key observations.
  • Analyze data on event logging servers (ELK stack).
  • Understand the system as a whole and continuously seek and implement improvements to make it more stable, clear, and predictable.
  • Develop a comprehensive automation framework from the ground up to enhance system stability, clarity, and predictability (using Python, Go, or JavaScript — your choice)

Skills

QA automation
Backend testing
Pytest
Python
Go
JavaScript
ELK stack

Tools

ELK stack

Job description

Group-IB is hiring a QA Engineer in Singapore to strengthen our automated testing capabilities. You will design and implement automation frameworks, validate REST APIs and backend integrations, and work with ELK-based data analysis to improve system stability and reliability.

Ideal candidates have hands-on Pytest or equivalent, experience with databases, and a passion for building scalable, high-load testing solutions in a cybersecurity-focused environment.

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