At a Glance
- Tasks: Design and optimise backend services and data pipelines using Scala or Python.
- Company: Join a leading data solutions company in the UK focused on innovation.
- Benefits: Enjoy competitive pay, high autonomy, and work on exciting AI projects.
- Why this job: Make a real impact on customer outcomes while working with top enterprise clients.
- Qualifications: Experience in building production systems with Scala or Python is essential.
- Other info: Thriving environment with opportunities for rapid iteration and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A data solutions company in the UK is seeking a Backend Engineer to help develop and scale their core services. This role demands experience in building production systems with a focus on Scala or Python, alongside responsibilities like designing backend services and optimizing data pipelines. The ideal candidate will thrive in an environment emphasizing rapid iteration and direct impact on customer outcomes. Boam AI promises high autonomy, competitive compensation, and the opportunity to work on AI-driven projects with top enterprise clients.
Backend Engineer: Scale Core Services & AI Pipelines in London employer: Boam AI
Contact Detail:
Boam AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer: Scale Core Services & AI Pipelines in London
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Scala or Python. This gives you a chance to demonstrate your expertise in building production systems and designing backend services.
✨Tip Number 3
Prepare for interviews by brushing up on common backend engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us scale our core services and work on exciting AI-driven projects. Your next big opportunity could be just a click away!
We think you need these skills to ace Backend Engineer: Scale Core Services & AI Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with Scala or Python. We want to see how you've built production systems and designed backend services in the past, so don’t hold back!
Tailor Your Application: Make your application stand out by tailoring it to our job description. Mention specific projects where you’ve optimised data pipelines or contributed to rapid iterations. This shows us you’re a perfect fit for the role!
Be Yourself: We love authenticity! Don’t be afraid to let your personality shine through in your application. Share your passion for AI-driven projects and how you can make a direct impact on customer outcomes.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s super easy and ensures your application lands right in our hands. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Boam AI
✨Know Your Tech Stack
Make sure you’re well-versed in Scala and Python, as these are crucial for the role. Brush up on your knowledge of backend services and data pipelines, and be ready to discuss your past experiences with these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight your ability to optimise systems and improve performance, as this will resonate well with the company's focus on rapid iteration.
✨Understand the Company’s Vision
Familiarise yourself with Boam AI's mission and the impact of their work on customer outcomes. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This shows that you’re not just interested in the job, but also in how you can fit into and enhance their existing processes.