At a Glance
- Tasks: Design and develop scalable backend systems while collaborating on AI solutions.
- Company: Innovative AI-first engineering firm based in London with a flexible remote work policy.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Other info: Supportive culture with opportunities for professional growth and knowledge sharing.
- Why this job: Join a team delivering cutting-edge products for well-known clients in retail and e-commerce.
- Qualifications: Proficiency in Python and experience with backend frameworks like Django or Flask.
The predicted salary is between 45000 - 55000 £ per year.
Requirements
- Proficiency in Python programming
- Experience with backend frameworks such as Django or Flask
- Familiarity with AI and data engineering concepts
- Understanding of database technologies like SQL and NoSQL
- Experience with cloud platforms (AWS, GCP, Azure)
- Strong problem-solving skills
- Excellent communication abilities
Responsibilities
- Design and develop scalable backend systems
- Collaborate with cross-functional teams to integrate AI solutions
- Optimize data pipelines for efficiency and performance
- Troubleshoot and debug applications as needed
- Participate in code reviews and contribute to team knowledge sharing
- Ensure code quality and maintainable architecture
We are an innovative AI-first engineering firm based in London with a flexible remote work policy, seeking a Backend Python Engineer to join our team. We focus on delivering cutting-edge products in the enterprise retail and e-commerce sectors, catering to well-known clients. Our founders come from prominent digital agencies and bring a wealth of experience, ensuring a dynamic and supportive work environment. We offer competitive salaries ranging from £45,000 to £55,000 depending on experience, along with opportunities for travel to our London office for collaborative projects.
Senior Backend Engineer employer: Partnerscale Limited
Contact Detail:
Partnerscale Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or backend systems. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those using Django or Flask. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on problem-solving scenarios. Practice coding challenges and be ready to discuss how you've tackled complex issues in past projects. Confidence is key!
✨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 genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Backend Engineer
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python right from the start. We want to see how you've used it in past projects, especially with frameworks like Django or Flask. Don't hold back on showcasing your coding prowess!
Talk About Your Experience: When you write about your experience, focus on your familiarity with AI and data engineering concepts. We love seeing how you've tackled challenges using database technologies like SQL and NoSQL, so share those stories!
Cloud Knowledge is Key: If you've worked with cloud platforms like AWS, GCP, or Azure, make sure to mention it! We’re keen on understanding how you’ve leveraged these tools to build scalable backend systems. It’s a big plus for us!
Keep It Clear and Concise: While we appreciate detail, clarity is crucial. Make your application easy to read and straight to the point. We want to get to know you quickly, so keep your communication clear and engaging. And remember, apply through our website!
How to prepare for a job interview at Partnerscale Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python programming and how you've used it in past projects. Practising coding challenges can also help you demonstrate your proficiency.
✨Familiarise Yourself with Frameworks
Since the role requires experience with backend frameworks like Django or Flask, take some time to review your knowledge of these technologies. Be prepared to talk about specific projects where you've implemented these frameworks and the challenges you faced.
✨Understand AI and Data Engineering Concepts
Given the focus on AI solutions, it's crucial to have a solid grasp of AI and data engineering concepts. Brush up on relevant terminology and be ready to discuss how you've integrated AI into backend systems in the past.
✨Showcase Your Problem-Solving Skills
During the interview, expect to encounter problem-solving scenarios. Think of examples from your previous work where you successfully troubleshot issues or optimised data pipelines. This will highlight your analytical abilities and fit for the role.