At a Glance
- Tasks: Lead the development of AI capabilities and enhance backend engineering practices.
- Company: A leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and collaborative environment.
- Why this job: Shape system architecture and tackle exciting engineering challenges in AI.
- Qualifications: Experience in backend engineering and proficiency in Java.
- Other info: Flexible work schedule with opportunities for professional growth.
The predicted salary is between 100000 - 125000 £ per year.
A leading tech company in Greater London is seeking a Backend Staff Engineer to lead the development of AI capabilities and enhance backend engineering practices. The role offers the flexibility of a hybrid work model, requiring on-site presence 2 days a week for collaboration.
As a key player in shaping system architecture and best practices, you will work primarily in Java and contribute to squad discussions to tackle engineering challenges.
Competitive salary of £100K-£125K is offered.
Lead Backend Engineer for AI Platform & Architecture in London employer: Attest
Contact Detail:
Attest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Backend Engineer for AI Platform & Architecture in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI or backend engineering. 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 projects, especially those involving Java and AI. This gives potential employers a taste of what you can bring to the table and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on system architecture and best practices. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your approach to engineering challenges.
✨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 and engaged with our company.
We think you need these skills to ace Lead Backend Engineer for AI Platform & Architecture in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with Java and any AI projects you've worked on. We want to see how your skills align with the role of Lead Backend Engineer!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for enhancing our backend engineering practices.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the job description. We love seeing candidates who take the extra step!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It helps us keep everything organised and ensures your application gets to the right people!
How to prepare for a job interview at Attest
✨Know Your Tech Stack
Make sure you’re well-versed in Java and any other technologies mentioned in the job description. Brush up on your knowledge of backend engineering practices and AI capabilities, as these will be crucial topics during your interview.
✨Showcase Your Leadership Skills
As a Lead Backend Engineer, you'll need to demonstrate your ability to lead and collaborate effectively. Prepare examples from your past experiences where you've successfully led a team or project, especially in tackling engineering challenges.
✨Understand the Company Culture
Research the company’s values and culture, especially their approach to hybrid work. Be ready to discuss how you can contribute to their collaborative environment while working remotely and on-site.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and architectural thinking. Practice coding problems and system design scenarios relevant to backend engineering and AI, so you can confidently showcase your expertise.