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- 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 experience with cloud platforms.
- 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 employer: Velocity Tech
Contact Detail:
Velocity Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Back End Developer
✨Tip Number 1
Make sure to showcase your experience with AI projects during any networking opportunities. Attend meetups or webinars related to AI and backend development to connect with industry professionals who might refer you to the role.
✨Tip Number 2
Familiarise yourself with the latest trends in backend technologies, especially those related to Python and containerisation. Being able to discuss recent advancements or projects you've worked on can set you apart in interviews.
✨Tip Number 3
Join online forums or communities focused on backend development and AI. Engaging in discussions can help you learn from others' experiences and may lead to job referrals or insider tips about the company.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges specifically in Python and database management. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
We think you need these skills to ace Back End Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in backend development. Emphasise your proficiency in Python and any relevant projects that showcase your skills in database systems, containerisation technologies, and cloud platforms.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the AI background required for the role. Mention your experience with relevant technologies and how they align with the company's goals. Show enthusiasm for the position and the company.
Showcase Relevant Projects: If you have worked on projects involving AI or similar technologies, be sure to include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your expertise.
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 applied your backend development skills to AI applications, as this will demonstrate your relevance to the role.
✨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 knowledge.
✨Discuss Database Knowledge
Since strong knowledge of database systems is crucial for this role, 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, 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, especially in relation to containerisation and Kubernetes.
