At a Glance
- Tasks: Join a dynamic team as a Senior Back End Developer, focusing on AI-driven projects.
- Company: Velocity Tech partners with an innovative AI company, pushing the boundaries of technology.
- Benefits: Enjoy a hybrid work model, competitive salary up to £110,000, and exciting tech challenges.
- Why this job: Be part of a cutting-edge AI environment that values creativity and innovation.
- Qualifications: 5+ years in backend development, proficiency in Python, and strong database knowledge required.
- Other info: Work in London three times a week, collaborating with top talent in the industry.
The predicted salary is between 66000 - 88000 £ per year.
Velocity Tech have partnered with an exciting AI company who are hiring for a Senior Back End Developer. This is a hybrid role in London (3 times per week) and are looking for people that have come from an AI background, also with the following experience:
- 5+ years of experience in backend/infrastructure development
- Proficiency in at least one backend programming language such as Python
- Strong knowledge of database systems (SQL / NoSQL) and data modelling
- Experience with containerisation technologies and Kubernetes
- Familiarity with cloud platforms (AWS, GCP, or Azure)
Salary wise they can pay up to £110,000.
Back End Developer (London Area) employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back End Developer (London Area)
✨Tip Number 1
Make sure to showcase your experience with AI projects during networking events or meetups. Engaging with professionals in the AI field can help you learn about potential job openings and get insider information on what companies like ours are looking for.
✨Tip Number 2
Join online communities or forums related to backend development and AI. Participating in discussions can help you stay updated on industry trends and may lead to connections that could refer you to opportunities at companies like StudySmarter.
✨Tip Number 3
Consider contributing to open-source projects that involve backend development or AI. This not only enhances your skills but also demonstrates your commitment and expertise to potential employers, including us at StudySmarter.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges specifically in Python and familiarising yourself with database systems. Being well-prepared will give you confidence and help you stand out during the interview process.
We think you need these skills to ace Back End Developer (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in backend development, particularly with Python and database systems. Include specific projects or roles that demonstrate your proficiency in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and backend development. Mention your relevant experience and how it aligns with the company's goals. Be sure to express why you're excited about this hybrid role in London.
Showcase Relevant Skills: In your application, emphasise your experience with containerisation technologies, Kubernetes, and cloud platforms like AWS, GCP, or Azure. Use specific examples to illustrate your expertise in these areas.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Velocity Tech
✨Showcase Your AI Experience
Make sure to highlight any previous work you've done in the AI field. Discuss specific projects where you contributed to backend development for AI applications, as this will demonstrate your relevant expertise.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with backend programming languages, particularly Python. You might be asked to solve coding problems or explain your approach to backend architecture, so brush up on your technical skills.
✨Discuss Database Knowledge
Since strong knowledge of database systems is crucial, be ready to talk about your experience with both SQL and NoSQL databases. Prepare examples of how you've used data modelling in past projects to solve complex problems.
✨Familiarity with Cloud Platforms
As cloud experience is important for this role, make sure to mention any work you've done with AWS, GCP, or Azure. Be specific about the services you've used and how they contributed to your projects' success.