ANZSCO Code:
263211

ICT Quality Assurance Engineer

Creates, maintains and manages technical quality assurance processes and procedures to assess efficiency, validity, value and functional performance of computer systems and environments, and audits systems to ensure compliance with, and adherence to, accredited internal and external industry quality standards and regulations. May supervise the work of ICT quality assurance teams.

AI Job Impact

AI Productivity Impact

Remuneration Range

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Task List for ICT Quality Assurance Engineer

- Grouped by Duties


Technical Quality Assurance Processes

Test Case Creation and Management

  • Description: Developing and managing test cases to assess the performance and functionality of computer systems.
  • Software Enhancement: Use test management software to create, store, and track test cases.
  • Automated Process: Automate test case generation based on system specifications.
  • AI/Augmentation Application: AI could suggest test cases based on existing issues and updates.
  • Potential Benefits: Faster test case creation, improved test coverage, and reduced manual effort.
  • Test Execution

  • Description: Conducting tests on computer systems to ensure efficient performance.
  • Software Enhancement: Use test automation tools to run tests.
  • Automated Process: Schedule automated tests to run after system updates or at regular intervals.
  • AI/Augmentation Application: AI could analyse test results to identify patterns and potential issues.
  • Potential Benefits: Faster and more consistent test execution, early detection of issues.
  • Issue Tracking

  • Description: Recording and managing issues that arise during testing.
  • Software Enhancement: Use issue tracking software to log and track issues.
  • Automated Process: Automate the logging of issues during test execution.
  • AI/Augmentation Application: AI could categorise and prioritise issues based on severity and frequency.
  • Potential Benefits: Improved issue management and prioritisation, reduced manual logging effort.
  • Compliance Audits

    Compliance Checklist Management

  • Description: Maintaining checklists to ensure systems adhere to internal and external quality standards.
  • Software Enhancement: Use compliance management software to create and manage checklists.
  • Automated Process: Automatically update checklists with changes in regulations or standards.
  • AI/Augmentation Application: AI could monitor changes in regulations and recommend checklist updates.
  • Potential Benefits: More accurate and up-to-date checklists, reduced manual updating effort.
  • Compliance Auditing

  • Description: Conducting audits to ensure systems comply with quality standards.
  • Software Enhancement: Use audit management software to schedule and document audits.
  • Automated Process: Automate the collection of audit data from system logs and performance metrics.
  • AI/Augmentation Application: AI could analyse audit data to identify non-compliance trends and suggest corrective actions.
  • Potential Benefits: More efficient and thorough audits, early detection of non-compliance issues.
  • Supervision of QA Teams

    Task Assignment and Tracking

  • Description: Assigning tasks to QA team members and tracking their completion.
  • Software Enhancement: Use task management software to assign and track tasks.
  • Automated Process: Automatically assign tasks based on availability and skillset of team members.
  • AI/Augmentation Application: AI could recommend task assignments based on team member performance and workload.
  • Potential Benefits: Improved task distribution and tracking, reduced manager workload.
  • Performance Evaluation

  • Description: Evaluating the performance of QA team members.
  • Software Enhancement: Use performance management software to evaluate and store performance data.
  • Automated Process: Automatically generate performance reports based on completed tasks and issues resolved.
  • AI/Augmentation Application: AI could provide insights and recommendations for performance improvements.
  • Potential Benefits: Accurate and timely performance evaluations, data-driven insights for performance improvement.
  • Documentation and Reporting

    Test Documentation

  • Description: Documenting test plans, cases, and results.
  • Software Enhancement: Use documentation management systems to store and manage test documentation.
  • Automated Process: Automate the generation of test reports and documentation from test management tools.
  • AI/Augmentation Application: AI could assist in summarising and organising test documentation.
  • Potential Benefits: More organised and accessible documentation, reduced manual reporting effort.
  • Compliance Reporting

  • Description: Creating reports to demonstrate compliance with quality standards.
  • Software Enhancement: Use reporting software to create and manage compliance reports.
  • Automated Process: Automatically generate compliance reports from audit data.
  • AI/Augmentation Application: AI could provide insights and suggestions for compliance improvements.
  • Potential Benefits: Timely and accurate compliance reporting, reduced manual reporting effort.
  • These enhancements can significantly improve the efficiency and effectiveness of ICT Quality Assurance Engineers by automating repetitive tasks, improving documentation accuracy, and providing actionable insights through AI augmentation, automation, and the use of LLM chat interfaces.

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