At a Glance
- Tasks: Leverage AI tools to automate testing and ensure our software is bug-free.
- Company: Join a cutting-edge AI-driven fraud detection platform focused on innovation.
- Benefits: Enjoy remote work, competitive pay, and the chance to shape modern QA practices.
- Other info: Work in a young, tech-savvy environment with opportunities for growth and creativity.
- Why this job: Be part of a dynamic team where your testing skills can shine and make an impact.
- Qualifications: Experience in software testing and familiarity with AI tools like ChatGPT and Playwright.
The predicted salary is between 36000 - 60000 £ per year.
Location: Remote (UK)
Type: Full-time
Compensation: DoE
About Veridox
Veridox is an AI-driven fraud detection platform purpose-built for insurers. We combine document analysis with contextual intelligence to output detailed risk analysis. We have a high focus on trust, accuracy, and explainability. As part of our growing team, you will play a key role in ensuring our product does exactly what we say it does.
The Role
We are looking for a smart, modern Software Tester who knows that the future of QA isn't just about writing code from scratch. It's about leveraging the right tools to move fast. We don't need a heavy framework architect. We need a rigorous tester who understands software logic and can effectively leverage AI (Gemini, Copilot, Claude, etc.) to generate test cases, write automated scripts, and analyse data. You will be the human intelligence guiding the AI tools, ensuring that our platform is robust, bug-free, and user-friendly.
You are the right fit if:
- You are a tester at heart: you love breaking things and finding edge cases.
- You are "AI-native" in your workflow: you don’t write boilerplate code; you prompt AI to write it for you, then you review and refine it.
- You believe automation is essential, but you aren’t afraid to jump in and manually test a complex workflow to understand the user experience.
Must Haves (The Core Requirements)
- QA Mindset & Methodologies: Proven experience as a Software Tester. You know how to write a test plan, define acceptance criteria, and what constitutes a "blocking" bug.
- AI Literacy (Prompt Engineering): You are comfortable using tools like ChatGPT, Claude, or GitHub Copilot to generate test scenarios, create data sets, and write basic automation scripts. You know how to "debug" a bad AI prompt.
- Automation Familiarity (Playwright): You don’t need to build a framework from scratch, but you must be able to use Playwright. You should be comfortable recording tests (Codegen), reading the resulting TypeScript/JavaScript, and using AI to tweak it.
- API Testing: You understand how APIs work (REST/GraphQL). You can use Postman, Insomnia, or AI tools to check that the data coming back looks correct (status codes, JSON structure).
- The "Hybrid" Approach: You are happy to mix automated checks with manual exploratory testing. You understand that automated tests check for regressions, but humans check for quality.
Nice to Haves
- Database Basics: Ability to ask an AI to write a SQL query to check data in the database, and the confidence to run it.
- Experience with Low-Code/No-Code Tools: Familiarity with tools that abstract the coding layer (e.g., ZeroStep, Ghost Inspector, or similar).
- CI/CD Awareness: You don’t need to build the pipeline, but you should know where to look in GitHub/GitLab when a test fails during a build.
- Security Curiosity: You know the basics of web security (e.g., "I probably shouldn’t be able to see this user’s data") and know to flag it.
What You Will Be Doing
- AI-Assisted Automation: Instead of spending days writing code, you will use AI tools to generate Playwright scripts for our regression suite and maintain them when features change.
- Exploratory Testing: You will manually test new features with a critical eye, looking for UX quirks, logic gaps, and edge cases that scripts can’t catch.
- Test Data Generation: Using LLMs to create realistic, complex datasets (e.g., fraudulent insurance claims) to rigorously test our fraud detection logic.
- Release Confidence: You will own the "Green Light." You will run the smoke tests (manual or automated) and tell the team when we are safe to deploy.
- Bug Triage: Investigating reported issues, reproducing them, and providing developers with clear steps to fix them (often using AI to help write the bug report).
Why Join Us?
This is not a "ticket-bashing" role. You are joining a young, high-tech company where you will have the freedom to define how modern QA should be done. If you believe that a smart tester with AI superpowers can outperform a traditional QA team, we want to talk to you.
Software Quality Assurance Tester in Hull employer: Veridox
At Veridox, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to leverage cutting-edge AI tools in their roles. As a remote-first company based in the UK, we offer flexible working arrangements, competitive compensation, and ample opportunities for professional growth, ensuring that our team members can thrive while contributing to meaningful advancements in fraud detection technology.
StudySmarter Expert Advice🤫
We think this is how you could land Software Quality Assurance Tester in Hull
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Veridox or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Veridox.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Veridox.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Veridox that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Quality Assurance Tester in Hull
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Veridox.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Veridox and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Veridox
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Veridox uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
