Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable tech platforms and automate deployment processes.
- Company: Leading technology firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team driving cutting-edge Data & AI initiatives.
- Why this job: Make a real impact on developer experience and decentralised data strategy.
- Qualifications: Extensive platform engineering experience and knowledge of AWS.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology firm in London is searching for a Senior Platform Engineer to enhance its Data & AI engineering sub-team. You will be responsible for building scalable technology platforms while automating deployment processes.
Applicants should have extensive experience in platform engineering, cloud solutions like AWS, and an automation-first mindset. This role offers an opportunity to significantly impact developer experience and drive initiatives towards a decentralised data strategy.
Senior Platform Engineer, Data & AI Platform employer: Albelli
Contact Detail:
Albelli Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer, Data & AI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to platform engineering and cloud solutions. This is your chance to demonstrate that automation-first mindset we all love!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common questions and scenarios related to building scalable platforms and decentralised data strategies.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our awesome team!
We think you need these skills to ace Senior Platform Engineer, Data & AI Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in platform engineering and cloud solutions like AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your automation-first mindset!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing developer experience and how you can contribute to our decentralised data strategy. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any projects that demonstrate your ability to build scalable technology platforms or automate deployment processes, make sure to mention them. We love seeing real-world examples of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Albelli
✨Know Your Tech Inside Out
Make sure you’re well-versed in platform engineering and cloud solutions, especially AWS. Brush up on your knowledge of scalable technology platforms and automation processes, as these will be key topics during the interview.
✨Showcase Your Automation Mindset
Prepare examples of how you've implemented automation in previous roles. Be ready to discuss specific tools and methodologies you've used to streamline deployment processes, as this aligns perfectly with what they’re looking for.
✨Understand the Decentralised Data Strategy
Familiarise yourself with decentralised data strategies and how they can enhance developer experience. Think about how you can contribute to this initiative and be prepared to share your insights during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company’s goals. Inquire about their current challenges in platform engineering or how they envision the future of their Data & AI sub-team. This shows you’re engaged and proactive.