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- Tasks: Lead the development of AI capabilities and enhance backend engineering practices.
- Company: 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.
- Qualifications: Experience in backend engineering and proficiency in Java.
- Other info: Flexible work schedule with opportunities for professional growth.
The predicted salary is between 80000 - 120000 £ 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 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
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your Java skills and understanding system architecture principles. Practice common technical questions and be ready to discuss how you've tackled engineering challenges in the past.
✨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 Lead Backend Engineer for AI Platform & Architecture
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: Make sure to customise your application for this specific role. Mention how your past experiences can help us tackle engineering challenges and shape system architecture effectively.
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 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 likely be focal points during the interview.
✨Showcase Your Leadership Skills
As a Lead Backend Engineer, you'll need to demonstrate your ability to lead and collaborate. 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 work culture, especially their approach to hybrid working. Be ready to discuss how you can contribute to their collaborative environment while working remotely.
✨Prepare for System Architecture Questions
Expect questions about system architecture and best practices. Think through some architectural designs you’ve worked on and be prepared to discuss your thought process and decision-making in those scenarios.
