At a Glance
- Tasks: Build the Arctic OS by developing data ingestion systems and cloud infrastructure.
- Company: Join Arctic Research and Development, a leader in innovative tech solutions.
- Benefits: Competitive salary, equity options, and a supportive work culture.
- Other info: We celebrate diversity and encourage applications from all backgrounds.
- Why this job: Make an impact by integrating hardware and machine learning in a dynamic environment.
- Qualifications: 5+ years in backend systems and strong AWS knowledge required.
The predicted salary is between 60000 - 84000 € per year.
Arctic Research and Development is seeking a Senior Backend Software Engineer to help build the Arctic OS, integrating hardware and machine learning. This full-time role, located just outside Cirencester, focuses on developing data ingestion systems, cloud infrastructure, and REST APIs.
Ideal candidates will have:
- 5+ years of experience in backend systems
- Extensive knowledge of AWS
- A curious mindset ready to tackle challenges in a dynamic environment
We value diverse teams and welcome applications from all backgrounds.
Senior Backend Engineer – Data Pipelines, Cloud & ML (Equity) employer: Arctic Research and Development
Arctic Research and Development is an exceptional employer, offering a collaborative work culture that fosters innovation and creativity in the heart of the Cotswolds. With a strong emphasis on employee growth, we provide opportunities for professional development and encourage a diverse team environment where every voice is valued. Join us to be part of a forward-thinking company that is at the forefront of integrating cutting-edge technology with real-world applications.
Contact Detail:
Arctic Research and Development Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer – Data Pipelines, Cloud & ML (Equity)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Arctic Research and Development on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your backend projects, especially those involving AWS and data pipelines. This will help us see your hands-on experience.
✨Tip Number 3
Ace the interview by practising common technical questions related to backend systems and cloud infrastructure. We want to see how you think through problems, so be ready to explain your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Backend Engineer – Data Pipelines, Cloud & ML (Equity)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5+ years of experience in backend systems. We want to see how your skills align with building data ingestion systems and cloud infrastructure, so don’t hold back!
Get Technical:Since we’re all about AWS here, be sure to mention your extensive knowledge of it. Talk about specific projects or challenges you’ve tackled using AWS – this will really catch our eye!
Be Curious:We love a curious mindset! In your application, share examples of how you've approached challenges in dynamic environments. This shows us you're ready to dive into the exciting work we do.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Arctic Research and Development
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS and REST APIs. Brush up on your knowledge of data ingestion systems and cloud infrastructure, as these will likely be key discussion points during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Arctic Research and Development is looking for a curious mindset, so be ready to demonstrate your ability to think critically and creatively when solving complex problems.
✨Familiarise Yourself with Machine Learning Concepts
Since the role involves integrating machine learning, it’s beneficial to have a basic understanding of ML concepts. You don’t need to be an expert, but being able to discuss how ML can enhance backend systems will show your enthusiasm and readiness to learn.
✨Emphasise Team Diversity and Collaboration
Arctic Research and Development values diverse teams, so be prepared to talk about your experiences working in diverse environments. Highlight how you’ve collaborated with colleagues from different backgrounds and how that has enriched your work.
