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For Companies At a Glance
- Tasks: Build robust backend infrastructure for cutting-edge AI systems in high-stakes environments.
- Company: Rapidly scaling software company at the forefront of AI technology.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of AI with your engineering skills.
- Qualifications: Strong Python expertise, experience with databases, and cloud platforms.
- Other info: Collaborative team environment with ownership and influence over architectural decisions.
The predicted salary is between 120000 - 140000 £ per year.
Data Idols are working with a rapidly scaling software company who are looking for a Senior Backend Engineer to join their team. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production.
The Opportunity
This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments. You'll be responsible for designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows. Your work will ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations.
You'll collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems. Alongside hands-on delivery, you'll influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales. This is a role for someone who enjoys ownership, depth, and solving hard systems problems.
Skills and experience
- Strong expertise in Python and modern backend frameworks
- Deep knowledge of relational databases, particularly PostgreSQL
- Strong understanding of RESTful API design and microservices patterns
- Experience working with cloud platforms and containerised environments (Docker, Kubernetes)
- Experience with CI/CD pipelines, automated testing, and Git-based workflows
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Senior Backend Engineer in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer in London
✨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 insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, RESTful APIs, or cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of backend frameworks and databases. Practice coding challenges and system design questions to demonstrate your expertise and problem-solving skills during interviews.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Backend Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Backend Engineer role. Highlight your experience with Python, PostgreSQL, and any cloud platforms you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects that demonstrate your expertise in backend infrastructure and AI systems. We love seeing real-world examples of your work, especially if they involve complex data workflows or microservices.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. We appreciate a well-structured application!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Data Science Festival
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and modern backend frameworks. Be ready to discuss your experience with relational databases like PostgreSQL, as well as RESTful API design and microservices patterns. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in backend engineering and how you tackled them. Think of examples where you had to ensure reliability under load or meet strict security requirements. This will demonstrate your ownership and depth in solving complex systems problems.
✨Collaborate Like a Pro
Since this role involves working closely with machine learning engineers and product managers, be ready to discuss your collaborative experiences. Share examples of how you've influenced architectural decisions or guided technical standards in previous roles. This shows you're not just a coder but a team player.
✨Get Familiar with Their Stack
Research the company's tech stack, especially their use of cloud platforms and containerised environments like Docker and Kubernetes. If you have experience with CI/CD pipelines and automated testing, be sure to highlight that too. Showing that you understand their environment will set you apart from other candidates.
