At a Glance
- Tasks: Design and build high-performance tools for validating ML data pipelines.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, mentoring opportunities, and a collaborative work culture.
- Why this job: Influence quality engineering practices and enhance platform resilience.
- Qualifications: 8+ years in software development, expertise in Python, and solid AWS skills.
- Other info: Join a dynamic team and mentor junior engineers for career growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in the UK is seeking an experienced software engineer to design and build high-performance tools for validating ML data pipelines. The role includes developing test solutions and automation frameworks while mentoring junior engineers.
Ideal candidates will have:
- 8+ years of experience in software development
- Expertise in Python
- Solid AWS skills
Join a collaborative environment where you'll influence quality engineering practices and enhance platform resilience.
Senior Platform Test Engineer for ML & Cloud employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Test Engineer for ML & Cloud
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with ML and cloud technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to ML data pipelines and automation frameworks. Practising with mock interviews can help us feel more confident and ready to impress.
✨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 proactive about their job search!
We think you need these skills to ace Senior Platform Test Engineer for ML & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development, especially with Python and AWS. We want to see how your skills align with the role of a Senior Platform Test Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about validating ML data pipelines and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the gig, share examples of how you've guided others in your previous roles. We value collaboration and want to know how you can contribute to our team's growth!
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to ML data pipelines. This will show that you not only have the experience but also the practical knowledge to back it up.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, think of examples where you've successfully guided others. Prepare to share how you approach mentoring and what strategies you use to help less experienced team members grow. This will highlight your leadership qualities.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, particularly around test solutions and automation frameworks. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to communicate complex ideas effectively.
✨Emphasise Collaboration
This role is in a collaborative environment, so be prepared to discuss how you've worked with cross-functional teams in the past. Share examples of how you’ve influenced quality engineering practices and contributed to enhancing platform resilience, as this will resonate well with the interviewers.