At a Glance
- Tasks: Develop automated testing frameworks for an AI-driven enterprise project.
- Company: Join EPAM Systems, a leader in innovative technology solutions.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team atmosphere with exciting projects and career advancement.
- Why this job: Make a real impact on AI quality assurance in a collaborative Agile environment.
- Qualifications: Experience in Python and a passion for quality engineering.
The predicted salary is between 50000 - 70000 £ per year.
EPAM Systems is seeking a Python QA Automation Engineer in London to contribute to an AI-driven enterprise project. The role involves developing automated testing frameworks and ensuring robust quality engineering across intelligent automation solutions.
The ideal candidate will collaborate in a Classic Agile environment, focusing on LLM accuracy and continuous quality assurance while working with engineering and product teams.
London Onsite: Python QA Automation Engineer for AI Platform employer: EPAM Systems
EPAM Systems is an excellent employer for those seeking to make a significant impact in the AI sector. With a strong focus on employee growth, we offer extensive training and development opportunities within a collaborative Classic Agile environment. Our London office fosters a vibrant work culture that values innovation and teamwork, making it an ideal place for passionate professionals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land London Onsite: Python QA Automation Engineer for AI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at EPAM Systems. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python automation projects. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on Agile methodologies and QA best practices. We want you to feel confident discussing how you’d ensure quality in AI-driven projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in the right hands.
We think you need these skills to ace London Onsite: Python QA Automation Engineer for AI Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and QA automation. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or frameworks you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at EPAM Systems and how you can contribute to our AI-driven projects. Keep it concise but impactful!
Showcase Your Agile Experience:Since we work in a Classic Agile environment, it’s important to mention any experience you have in Agile methodologies. Share examples of how you’ve collaborated with teams to ensure quality in past projects.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at EPAM Systems
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of QA automation. Be prepared to discuss your experience with developing automated testing frameworks and any specific libraries or tools you've used.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in a Classic Agile environment, it’s crucial to understand Agile principles. Be ready to share examples of how you've collaborated with teams in an Agile setting and how you’ve contributed to continuous quality assurance.
✨Understand AI and LLMs
Given the focus on AI-driven projects, take some time to learn about large language models (LLMs) and their implications for quality assurance. Being able to discuss how you would ensure accuracy in AI outputs will set you apart.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the specific challenges they face in QA for AI, and how success is measured in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
