QA Engineer

LINKTRIX CONSULTANTS PTE. LTD.; Singapore; On-site; SGD 67,000 - 100,000; Full time

Job summary

LINKTRIX CONSULTANTS PTE. LTD. is seeking a QA Engineer to own test planning, design, execution and defect management across manual and automated tests.

The role emphasizes AI-assisted test generation, maintenance of test scripts, and collaboration with Solution Architecture and dev teams throughout the SDLC. Some on-site work at client offices may be required. Ideal candidates have 3-5+ years in QA, strong hands-on testing, experience with at least one automation framework, and familiarity with

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering or related field.
• 3-5+ years of experience as a QA Engineer or similar.
• Experience writing test plans, test cases, and defect reports.
• Strong manual testing skills with BDD or similar
• Experience with at least one automation framework (Selenium, Playwright, Cypress or Appium).
• Experience in Agile/Scrum environments.
• Experience using AI tools to aid test generation or documentation is advantageous.

Responsibilities

• Develop test plans and strategies aligned to project scope and risks.
• Write clear, traceable test cases from requirements and acceptance criteria.
• Execute manual tests across functional, regression, and UAT cycles.
• Log, prioritize, and track defects to closure with clear sign-offs.
• Build and maintain automation scripts and integrate tests into CI/CD pipelines.
• Leverage AI tools to generate draft test cases and improve coverage.
• Coordinate UAT sessions with clients and stakeholders.
• Collaborate with Solution Architects and developers on test scenarios.

Skills

Manual testing

AI tools usage

Agile/Scrum

BDT/BDD

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Selenium

Playwright

Cypress

Appium

Postman

REST Assured

SoapUI

Jira/Xray

TestRail

Zephyr

Job description

Job Overview

The QA Engineer owns testplanning, testcase design, execution, and defect management to ensure delivered solutions meet functional, quality, and business requirements. This role covers both manual and automation testing, applying BDD and other testing methodologiesas appropriate to the project.This role also uses AI tools as a core part ofthe QA workflow - generating test cases from requirements, building anddebugging automation scripts, and producing test documentation faster and moreconsistently.The QA Engineer works closely with the Solution Architecture team and local development and project teams throughoutthe SDLC, and may be required to be based at the customer's office during working hours, with occasional after-office-hours work as needed.

Core Responsibilities

TestPlanning & Strategy

• Develop test plans and test strategies aligned toproject scope, requirements, and risk areas
• Define test coverage across functional, regression,integration, and user acceptance testing
• Identify test data, environment, and tooling needsahead of each testing cycle

TestCase Design & Documentation

• Write clear, traceable test cases from requirements,user stories, and acceptance criteria
• Maintain a well-organized, version-controlled test caserepository, mapped back to requirements
• Review requirements and designs early to identifytestability gaps and ambiguities

TestExecution & Defect Management

• Execute manual test cases across functional,regression, and UAT cycles, applying BDD (Given-When-Then) and other testingmethodologies as appropriate
• Log, prioritize, and track defects to closure,verifying fixes before sign-off
• Produce clear test result reports and documentation forproject and client sign-off

TestAutomation

• Build and maintain automation scripts (e.g., Selenium,Playwright, Cypress, Appium) for regression and repetitive test coverage
• Integrate automated tests into CI/CD pipelines inpartnership with development and DevOps
• Maintain and refactor automation suites as theapplication evolves

AI-AssistedQA (Priority Focus - AI Skill Set)

• Use AI tools to generate draft test cases directly fromrequirements, user stories, or acceptance criteria, then review and refine foraccuracy and coverage
• Use AI-assisted "vibe coding" tools (e.g.,Claude Code, Cursor, Copilot) to build, debug, and maintain automation scriptsfaster.
• Use AI to draft and standardize QA documentation - testplans, test summary reports, defect write-ups, and release notes - reviewingoutputs for accuracy before sign-off
• Use AI to help identify test coverage gaps and suggestedge cases that manual review might miss
• Build working understanding of AI/LLM concepts (RAG,agentic workflows, MCP) sufficient to design and execute test cases forAI-enabled features, including evaluating AI output quality and consistency

API& Integration Testing

• Test APIs and system integrations using tools such asPostman, REST Assured, or SoapUI
• Validate data flows and integration behavior againsttechnical specifications

UAT Support & Collaboration

• Coordinate and support User Acceptance Testing sessionswith clients and business stakeholders
• Work closely with developers to clarify requirements,reproduce issues, and validate fixes
• Partner with Solution Architects and Business Analysts on acceptancecriteria and technical feasibility of test scenarios.

Required Qualifications

Education& Experience

• Bachelor's degree in Computer Science, InformationTechnology, Engineering, or a related field
• 3-5+ years of experience as a QA Engineer, TestEngineer, or in a similar quality assurance role
• Demonstrated experience writing test plans, test cases,and defect reports
• Strong manual testing skills, including experienceapplying BDD and other test design methodologies
• Experience with at least one test automation framework(Selenium, Playwright, Cypress, or Appium)
• Experience working within Agile/Scrum delivery teams
• Hands-on experience or strong aptitude using AI toolsto assist with test case generation, automation scripting, or documentation ishighly advantageous.

Technical and Management knowledge

AI-AssistedQA Tools & Techniques

• AI test case generation from requirements/user stories,and AI-assisted test coverage analysis
• AI coding assistants (Claude Code, Cursor, GitHubCopilot) for building and debugging automation scripts
• AI-assisted documentation drafting for test plans,summary reports, and release notes
• Basic understanding of LLM/RAG/agentic AI conceptssufficient to design test cases and evaluation criteria for AI-enabled features.

TestAutomation Frameworks

• Selenium, Playwright, Cypress, or Appium (web and/ormobile)
• TestNG, JUnit, or equivalent test runners and reportingframeworks

APITesting Tools

• Postman, REST Assured, or SoapUI

TestManagement & Documentation Tools

• Jira/Xray, TestRail, Zephyr, or equivalent test caseand defect management tools
• Confl