At a Glance
- Tasks: Lead an award-winning Quality Engineering team using cutting-edge AI technologies.
- Company: Join NTT DATA, a global leader in tech and innovation.
- Benefits: Flexible work options, tailored benefits, and continuous growth opportunities.
- Other info: Be part of a diverse and inclusive workforce with endless opportunities.
- Why this job: Make a real impact in AI-driven quality engineering and inspire your team.
- Qualifications: Experience in software development, automation frameworks, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award-winning Quality Engineering team that is working on some of the most cutting-edge technologies that embrace new innovations, such as in-built quality checks that utilise AI/GenAI & agentic AI across the full SDLC.
What is key to this role is the ability to lead and inspire a team, fostering a collaborative and productive work environment. This is a hands-on product building experience that cuts across the full SDLC, not just test automation and QE. You will lead the expansion of our existing portfolio of Quality Engineering assets and services.
Having strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders is a must. You will join a highly focused quality engineering team that are experts in driving an AI & agentic AI engineering-led approach to driving value for our clients. You are responsible for ensuring Shift-Left Testing, emphasising early testing in the development lifecycle.
You will have experience of multiple Automation Frameworks that support various types of testing. You will play a key role as an AI mentor and train your team on the latest testing tools and methodologies. You will always look for ways to drive SDLC efficiencies and to improve the quality engineering approach. You will have knowledge on capturing the value created through defining and tracking quality metrics.
What Experience You'll Bring
- Extensive experience as a Senior QE SDET Engineer or Senior Developer
- Experienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)
- Hands-on product building experience that cuts across the full SDLC - not just test automation and QE.
- Experienced in building RAG system with a nice-to-have on fine-tuning LLMs
- Comfortable with IAS (Infra As Code) eg. giving a high-level spec
- Fully understands test automation (across platforms and functional/non-functional) and associated tech
- Presentation skills - C-Suite clients and in-house Innovation - art of the possible
- Databases: SqlServer, MySQL, Oracle, MongoDB, H2
- Performance: Gatling, JMeter, WebPageTest, LightHouse
- Hands-on software test automation, ideally founded on a background as a senior Developer
- Experienced in building a strategy covering all aspects of the SDLC process, development, automation, CI, and metrics
- Experienced in helping teams evolve an Agile ‘Shift Left’ way of working
- Experience of building advanced and feature-rich test automation frameworks from scratch using Object-oriented and scripted languages
- Has a depth of knowledge in the Object-oriented Programming paradigm (OOP) and has practically applied the principles
- Comfortable working with Git repositories and workflows on multiple tasks concurrently
- Ability to manage and lead code review processes, mitigate conflicts within the team and get quality work merged in the main branch
- Proactively collaborate with the Front-end development team, understand the design of the Front-end and discuss issues with the developers to better understand requirements and expectations
- Understanding of CI/CD pipelines and their importance in the Automation Testing process
- Understanding of non-functional requirements and testing, with a focus on performance (but also accessibility, compatibility and aspects of security)
Nice to Have
- MCP, Django and nice-to-have Entra/Gunicorn
- GitHub Actions, GitLab pipelines, Azure DevOps pipelines, Jenkins (any experience on these will be beneficial)
- AWS experience
- Experience with any of these tools: Cypress, Playwright, Webdriver.io (but with strong experience in Selenium)
- Understanding (better experience) with Contract Testing frameworks (preferably PACT)
- Experience setting up E2E testing frameworks with automation in mind, covering all the aspects of the SDLC
At NTT DATA, you have endless opportunities to think big, act bold and take ownership. We co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognise great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D.
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce.
AI-Driven QE Lead Engineer employer: NTT DATA Europe & Latam
At NTT DATA, we pride ourselves on being a Global Top Employer, offering an innovative and collaborative work culture that empowers our employees to think big and act boldly. With a strong focus on continuous learning and development, we provide tailored benefits that support your overall wellbeing, alongside flexible work options to ensure a healthy work-life balance. Join our award-winning Quality Engineering team in a dynamic environment where you can lead cutting-edge AI initiatives and grow your career while making a meaningful impact.
Contact Details:
NTT DATA Europe & Latam Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven QE Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and showcasing your hands-on experience. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Show off your skills! Create a portfolio that highlights your projects, especially those involving AI tools and automation frameworks. This will give you an edge and demonstrate your practical knowledge to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI-Driven QE Lead Engineer
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and Quality Engineering shine through. We want to see how you’ve engaged with cutting-edge technologies and how you can inspire others in the field.
Tailor Your Experience:Make sure to highlight your hands-on product building experience across the full SDLC. We’re looking for specific examples of how you've implemented AI tools and frameworks, so don’t hold back on the details!
Communicate Clearly:Strong communication skills are a must! Use your written application to demonstrate how you can convey complex technical information in a way that’s easy for non-technical stakeholders to understand. This is key for us.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at NTT DATA Europe & Latam
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AI tools and automation frameworks. Brush up on your knowledge of SQL databases, CI/CD pipelines, and performance testing tools like Gatling and JMeter. Being able to discuss these confidently will show that you're not just familiar but truly engaged with the role.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've inspired and managed teams in the past. Think about specific situations where you fostered collaboration or resolved conflicts. This will demonstrate your ability to create a productive work environment, which is key for this position.
✨Communicate Clearly with Non-Techies
You’ll need to convey complex technical information to non-technical stakeholders. Practice explaining your past projects or technical concepts in simple terms. This skill is crucial for ensuring everyone is on the same page and can help you stand out as a candidate who can bridge the gap between tech and business.
✨Prepare for Shift-Left Testing Discussions
Understand the principles of Shift-Left Testing and be ready to discuss how you’ve implemented this approach in your previous roles. Share specific examples of how early testing has improved project outcomes. This will highlight your proactive mindset and commitment to quality engineering throughout the SDLC.
