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- Tasks: Design and develop backend infrastructure for cutting-edge Machine Learning workloads.
- Company: Stealth-mode AI laboratory in London with a high-profile team.
- Benefits: Competitive salary, equity, and innovative work environment.
- Other info: Exciting opportunity to work in a dynamic and innovative setting.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: 2-3 years of backend engineering experience and cloud-native tech skills.
The predicted salary is between 50000 - 60000 £ per year.
A stealth-mode AI laboratory in London is seeking a Software Engineer to design and develop backend infrastructure for Machine Learning workloads. The ideal candidate has 2-3 years of experience in back-end engineering, and proficiency in cloud-native technologies like AWS and Terraform. This role offers a competitive salary, equity, and the chance to work with a high-profile team in an innovative environment.
Backend Engineer – Cloud & Distributed Systems (Equity) in London employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer – Cloud & Distributed Systems (Equity) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 showcasing your projects, especially those involving cloud-native technologies like AWS and Terraform. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common backend engineering problems and be ready to discuss your thought process during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Backend Engineer – Cloud & Distributed Systems (Equity) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in back-end engineering and any projects you've worked on that involved cloud-native technologies like AWS and Terraform. We want to see what you can bring to the table!
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 Backend Engineer role. We love seeing candidates who take the extra step.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your skills and experiences shine through without unnecessary fluff.
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 this exciting opportunity in our innovative team!
How to prepare for a job interview at Zettafleet
✨Know Your Tech Stack
Make sure you’re well-versed in cloud-native technologies like AWS and Terraform. Brush up on your knowledge of how these tools work together to support backend infrastructure, especially for Machine Learning workloads. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Think about specific examples that highlight your ability to design and develop robust backend systems. This will demonstrate your critical thinking and adaptability, which are key in a fast-paced environment.
✨Understand the Company’s Vision
Since this is a stealth-mode AI lab, do some research on their mission and values. Even if details are scarce, try to understand the broader trends in AI and how backend engineering plays a role. Showing that you align with their vision can set you apart from other candidates.
✨Prepare Questions to Ask
Interviews are a two-way street, so come prepared with insightful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if this innovative environment is the right fit for you. Think about what you want to know regarding their approach to Machine Learning and collaboration within the team.