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- Tasks: Analyse system requirements and design test plans using AI tools to ensure software quality.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Other info: Dynamic team environment with plenty of chances for career advancement.
- Why this job: Be at the forefront of tech, using AI to enhance software quality and performance.
- Qualifications: Experience in QA processes and familiarity with tools like JIRA.
The predicted salary is between 40000 - 50000 £ per year.
Analyze system requirements and specifications using AI-assisted tools to identify gaps, inconsistencies, and potential risks.
Design and maintain comprehensive, structured test plans and test cases based on intelligent test generation techniques.
Execute manual and AI-supported automated tests to validate software functionality and performance.
Identify, document, and manage defects using tools such as JIRA, leveraging AI for bug classification and prioritization.
Perform regression testing using AI-based test selection to ensure efficient and effective coverage.
Collaborate with developers, product managers, and QA teams to ensure quality throughout the software development lifecycle.
Participate in Agile/Scrum ceremonies, contributing quality insights and risk assessments.
Utilize AI-driven analytics to monitor quality metrics, identify trends, and recommend improvements.
Continuously evaluate and enhance QA processes using data-driven and AI-supported approaches.
Software QA Engineer in Brighton employer: Career Choices Dewis Gyrfa Ltd
Contact Detail:
Career Choices Dewis Gyrfa Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software QA Engineer in Brighton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant groups on LinkedIn, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your testing projects, especially those involving AI-assisted tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common QA methodologies and be ready to discuss how you’ve used AI in your previous roles. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software QA Engineer in Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI-assisted tools and test plans. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about QA and how you can contribute to our team. We love seeing enthusiasm and a good understanding of the role.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've identified gaps or risks in software. We’re keen to know how you’ve used data-driven approaches to enhance QA processes in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Career Choices Dewis Gyrfa Ltd
✨Know Your Tools
Familiarise yourself with AI-assisted tools and testing frameworks mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially for identifying gaps and managing defects.
✨Showcase Your Test Plans
Prepare to talk about your experience designing structured test plans and cases. Bring examples of how you’ve applied intelligent test generation techniques and be ready to explain your thought process behind them.
✨Collaboration is Key
Highlight your experience working in Agile/Scrum environments. Be prepared to share specific instances where you collaborated with developers and product managers to enhance software quality.
✨Data-Driven Mindset
Demonstrate your understanding of using AI-driven analytics to monitor quality metrics. Discuss how you've identified trends in past roles and what improvements you recommended based on data insights.