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- 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.
- Other info: Collaborative team environment with a focus on innovation and technical excellence.
- Why this job: Make a real impact by turning advanced AI capabilities into reliable production systems.
- Qualifications: Strong Python skills, experience with PostgreSQL, and knowledge of cloud platforms.
The predicted salary is between 130000 - 140000 £ per year.
Salary: £130K – £140K + Equity
Location: London in office
Data Idols are working with a rapidly scaling software company who are looking for a Staff Software 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)
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Staff Software 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 Staff Software 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 and backend systems. A friendly chat can lead to referrals or 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 database management. Practice coding challenges and system design questions to demonstrate your expertise in real-world scenarios.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Staff Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Software Engineer role. Highlight your experience with Python, backend frameworks, and any relevant projects that showcase your skills in AI systems and data workflows.
Showcase Your Projects: Include specific examples of projects where you've designed backend services or worked with cloud platforms. This will help us see how you’ve tackled real-world problems and your ability to deliver reliable solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary to explain your expertise.
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 interviewers will likely want to dive deep into your technical expertise, so be prepared to showcase your knowledge.
✨Showcase Your Problem-Solving Skills
Since this role involves solving complex systems problems, think of specific examples from your past work where you've tackled tough challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate how you approached and resolved these issues.
✨Understand the Company’s Product
Familiarise yourself with the company’s product and how it integrates AI systems with data workflows. Being able to discuss how your skills can contribute to building reliable backend infrastructure for high-stakes environments will show that you’re genuinely interested in the role and understand its importance.
✨Prepare Questions for Them
Interviews are a two-way street, so prepare insightful questions about the team dynamics, architectural decisions, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture and the role align with your career goals.