At a Glance
- Tasks: Design, build, and scale backend services for an AI-driven platform.
- Company: Innovative tech business with a focus on cutting-edge AI technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on solving complex engineering challenges.
- Why this job: Join a high-performing team and influence the future of technology.
- Qualifications: Strong experience in backend development with Python and cloud environments.
The predicted salary is between 60000 - 80000 £ per year.
Here at Data Idols, we’re working with an innovative technology business that is scaling a cutting‑edge AI‑powered platform used by enterprise clients globally. As the platform continues to grow, they’re looking for a Backend Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction.
This is an opportunity to join a high‑performing engineering team where you’ll have genuine influence over architecture, technology decisions, product direction and engineering standards.
As a Backend Senior Software Engineer, you’ll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud‑native environment, you’ll help design, build and scale the backend services that power an AI‑driven platform entering a significant growth phase and supporting an increasingly large enterprise customer base.
You’ll be solving complex engineering challenges around scalability, performance and reliability, designing distributed systems and building resilient enterprise‑grade software that forms the foundation of the platform. This is a highly visible role where you’ll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long‑term evolution of the platform.
You’ll be responsible for delivering high‑quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring.
Skills and Experience
- Strong commercial experience developing backend software using Python, alongside experience with languages such as Java, Go, Kotlin, C++ or similar
- Commercial experience with TypeScript
- Experience building and operating applications within AWS/GCP environments
- Strong understanding of scalable system design and distributed systems
- Hands‑on experience with CI/CD pipelines and modern engineering practices
- Experience building resilient, cloud‑native, enterprise‑grade applications
If you’re an experienced backend software engineer looking to solve complex technical challenges and help shape a modern cloud‑native platform, we’d love to hear from you.
Backend Senior Software Engineer employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Senior Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Data Science Festival or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Data Science Festival.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Data Science Festival.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Data Science Festival that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Backend Senior Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data Science Festival.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Science Festival and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Data Science Festival
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data Science Festival uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
