High Automation Risk
This role has an above-average probability of significant AI or automation disruption. Consider upskilling and monitoring AI tooling in this sector.
QA Engineer - 35899
👤 For candidates
🤖 Enhance with AI
- ›Leverage AI-driven test automation platforms for faster execution
- ›Use Copilot tools to generate and refine test scripts
- ›Apply AI analytics for defect prediction and reporting
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For employers
🔄 Alternatives
Automate test execution and defect detection
Generate, run, and analyse test cases automatically
External providers handle routine testing tasks
⚡ Recommendation
⚡ Augment roleAI tools can boost productivity, but human oversight remains essential
Microsoft Copilot & M365
Draft and refine QA reports quickly
Automate defect tracking and test workflows
Generate and optimise automated test scripts
Software Developers
O*NET 15-1252.00
🏢 For Employers
This role scores highly for automation potential. You may want to consider a technological solution - or redesign the role to focus on tasks that benefit from human judgement.
👤 For Candidates
This role is highly automatable. Unless you can augment your work using AI tools, long-term prospects in this area may be limited. Consider building complementary skills that are harder to automate.
Job Description
Automation Risk
This QA Engineer role involves a high proportion of routine and codifiable tasks, such as test execution, defect tracking, and report generation, which are increasingly automatable with modern QA and AI tools. However, tasks requiring collaboration, creative process improvement, and nuanced quality judgment remain resistant to full automation. The high AI exposure score reflects the significant augmentation potential for most testing and reporting activities.
Task analysis
- Design and execute test plans and test cases for eWallet and back office systems.
- Identify, document, and track software defects and inconsistencies.
- Collaborate with developers and product managers to resolve quality issues.
- Perform regression, integration, and system testing on new software releases.
- Analyze test results and provide detailed reports and recommendations.
- Ensure compliance with quality standards and best practices in software development.
- Participate in continuous improvement initiatives for QA processes.
- Maintain and update automated test scripts as systems evolve.
Occupational Classification
UK Salary Benchmark
Scientific research and development · ONS ASHE 2024 annual earnings
👤 For Candidates
AI & future-of-work guidance
🤖 Enhance with AI
- ›Leverage AI-driven test automation platforms for faster execution
- ›Use Copilot tools to generate and refine test scripts
- ›Apply AI analytics for defect prediction and reporting
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For Employers
Strategic hiring options & technology alternatives
🔄 Alternatives
Automate test execution and defect detection
Generate, run, and analyse test cases automatically
External providers handle routine testing tasks
⚡ Recommendation
⚡ Augment roleAI tools can boost productivity, but human oversight remains essential
Microsoft Copilot & M365
Draft and refine QA reports quickly
Automate defect tracking and test workflows
Generate and optimise automated test scripts
Key Skills
Knowledge Areas
O*NET Competency Skills
Alternative Career Paths
Transition to designing and building software applications, leveraging QA experience for robust code quality.
Focus on automating software deployment and integration pipelines, using QA automation skills.
Oversee product development cycles, using QA insights to inform feature prioritization and quality standards.
Analyze business requirements and processes, applying QA analytical skills to optimize workflows.
Also Consider
🔥 Hot Technologies
In-demand tools for this occupation (O*NET)
Work Activities
General work activities from O*NET
- Working with Computers
- Processing Information
- Making Decisions and Solving Problems
- Thinking Creatively
- Communicating with Supervisors, Peers, or Subordinates
- Analyzing Data or Information
- Updating and Using Relevant Knowledge
- Organizing, Planning, and Prioritizing Work
- Getting Information
- Evaluating Information to Determine Compliance with Standards
- Documenting/Recording Information
- Developing Objectives and Strategies
- Monitoring Processes, Materials, or Surroundings
- Identifying Objects, Actions, and Events
- Interpreting the Meaning of Information for Others
Anthropic Economic Index
Real-world AI adoption data from millions of Claude conversations · Dataset ↗
Observed Claude Usage
29%
of conversations
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