At a Glance
- Tasks: Drive quality assurance with AI-powered testing solutions and collaborate with development teams.
- Company: Innovative tech firm in Burgess Hill focused on Generative AI.
- Benefits: Competitive salary, hands-on experience, and opportunities for mentorship.
- Other info: Work in a dynamic Agile environment with great career growth potential.
- Why this job: Join a cutting-edge team and shape the future of software testing with AI.
- Qualifications: Experience in QA automation, Python programming, and understanding of Generative AI.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a highly skilled QA Automation Engineer with expertise in Generative AI, modern automation frameworks, and hands-on AI experience.
The ideal candidate will drive quality assurance initiatives using cutting-edge technologies and AI-powered testing solutions.
Role requires working from office in Burgess Hill 3 days a week.
Key Responsibilities
- Implement AI-powered testing solutions to enhance test coverage and efficiency
- Create and execute API tests using Rest Assured or Karate frameworks
- Collaborate with development teams to ensure quality throughout the SDLC
- Analyze test results and provide actionable insights
- Mentor junior team members on automation best practices
- Contribute to continuous improvement of testing processes
- Key Skills and Experience
- Strong understanding of Generative AI concepts and applications in software testing
- Familiarity with LLMs, prompt engineering, and AI model integration
- Proficient in Python programming for test automation and scripting
- Experience with Python testing frameworks (pytest, unittest)
- Ability to develop custom automation utilities and tools
- Experience with Node. js ecosystem for testing
- Understanding of modern ES6+ features
- Hands-on experience with Playwright for end-to-end testing
- API testing capabilities within Playwright
- Expertise in API testing using Rest Assured (Java) or Karate framework
- RESTful API validation and automation
- Data-driven testing and BDD approach
- Hands-on experience integrating AI into testing workflows
- Understanding of AI/ML testing challenges and solutions
- Experience with AI-powered test generation or analysis tools
- Additional Requirements
- Experience in software testing and automation
- Strong understanding of CI/CD pipelines and Dev Ops practices
- Experience with version control systems (Git)
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Ability to work in an Agile/Scrum environment
- Nice To Have
- Experience in financial services or payments industry
- Knowledge of security testing practices
- Cloud platform experience (AWS, Azure, GCP)
- #J-18808-Ljbffr
QA Automation Engineer (Generative AI) in Burgess Hill employer: Cognizant
Cognizant is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Public Sector. Employees benefit from comprehensive growth opportunities, including training in cutting-edge AI technologies, while contributing to meaningful projects that impact government services. With a commitment to quality and excellence, Cognizant provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land QA Automation Engineer (Generative AI) in Burgess Hill
✨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 Cognizant 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 Cognizant.
✨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 Cognizant.
✨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 Cognizant 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 QA Automation Engineer (Generative AI) in Burgess Hill
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 Cognizant.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cognizant 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 Cognizant
✨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 Cognizant 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.
