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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 a vibrant office culture in London.
- Why this job: Join a team shaping the future of AI with real-world impact and innovation.
- Qualifications: Expertise in Python, backend frameworks, and cloud platforms required.
- Other info: Collaborative environment with opportunities to influence architectural decisions.
The predicted salary is between 130000 - 140000 £ per year.
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.
This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments.
Responsibilities- Design and evolve the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows.
- Ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations.
- Collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems.
- Influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales.
- Take ownership, go in-depth on problems, and solve hard systems challenges.
- 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).
Salary: £130K - £140K + Equity
Location: London in office
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Staff Software Engineer employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals, which can seriously boost your chances of landing that Staff Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, backend frameworks, and AI systems. 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 RESTful APIs, microservices, and cloud platforms. Practice coding challenges and system design questions to demonstrate your expertise and problem-solving skills during the interview.
✨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 Staff Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, backend frameworks, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI systems and backend infrastructure, and let us know how you can contribute to our team’s success.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in previous roles. We love seeing candidates who take ownership and dive deep into problem-solving, especially in high-stakes environments.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Data Idols
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the backend frameworks mentioned in the job description. Be ready to discuss your experience with relational databases like PostgreSQL and how you've implemented RESTful APIs in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in backend engineering, especially those related to AI systems or large-scale data processing. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working closely with machine learning engineers and product managers, think of examples where you've successfully collaborated across teams. Emphasise your communication skills and how you’ve influenced architectural decisions in previous roles.
✨Understand the Company’s Vision
Research the company’s products and their approach to AI and data workflows. Be prepared to discuss how your skills align with their goals and how you can contribute to building reliable, production-ready systems that meet security and compliance standards.