At a Glance
- Tasks: Design and develop APIs and services using Python and FastAPI in a fast-paced environment.
- Company: Join a rapidly scaling property tech business transforming the industry with AI and automation.
- Benefits: Enjoy hybrid work, competitive salary, and the chance to influence technical decisions.
- Other info: Opportunity for growth in a dynamic, AI-native engineering environment.
- Why this job: Be part of an ambitious team using AI tools to solve real product challenges.
- Qualifications: Strong experience with Python, FastAPI, and cloud-native applications on AWS.
The predicted salary is between 63000 - 77000 £ per year.
Hybrid (London/Remote)
If you're the kind of engineer who reaches for AI tooling as naturally as your IDE, enjoys solving real product problems, and prefers building new systems over maintaining legacy code, this could be the role for you.
We're working with a well-funded, rapidly scaling property technology business that's transforming a traditionally fragmented industry through AI, automation and modern software engineering. Following significant investment and strategic acquisitions, they're building the technology platform that will power the next stage of their growth.
This is an opportunity to join an engineering team where speed, ownership and modern development practices are encouraged, not constrained by process.
What you'll be building
As a Backend Engineer, you'll help design and develop the APIs and services that power a rapidly growing platform. Working closely with product managers, designers and fellow engineers, you'll ship features quickly, influence technical decisions and help shape how engineering is done as the business scales.
This is a genuinely AI native engineering environment. AI assisted development isn't an experiment, it's embedded into the team's workflow, enabling engineers to focus more on solving complex problems and delivering customer value.
What you'll be doing
- Design, build and scale backend services using Python and FastAPI
- Develop reliable, well-tested APIs and distributed services running on AWS
- Work in short, iterative delivery cycles alongside Product and Design
- Use AI assisted and agentic development tools (such as Cursor, Claude and similar technologies) to accelerate development and improve code quality
- Influence architecture, engineering standards and platform evolution
- Collaborate closely with frontend engineers building modern React applications
- Help shape engineering practices within a high growth technology business
What we're looking for
- Strong commercial experience building backend applications with Python
- Commercial experience with FastAPI (essential)
- Experience building and operating cloud-native applications on AWS
- Background in product-led startups, scaleups or other fast paced engineering environments
- Comfortable using AI assisted development tools as part of your everyday workflow
- Able to work autonomously, make technical decisions and take ownership of delivery
- A product mindset with a focus on building solutions that create customer value
Why this role?
This isn't a company asking whether AI might be useful, they're already building with it. You'll be joining an ambitious engineering team with the freedom to move quickly, influence technical direction and work on meaningful product challenges rather than spending your time maintaining legacy systems. If you've enjoyed working in high growth environments, embrace modern AI enabled development, and want to help build a platform with genuine scale and impact, we'd love to hear from you.
Senior Backend Engineer (Python) employer: Digital Waffle
Digital Waffle is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the energy sector. Employees benefit from ongoing professional development opportunities, competitive compensation, and a commitment to sustainability, making it a rewarding place to contribute to the UK's critical infrastructure. Join us to be part of a team that values your expertise and empowers you to make a meaningful impact on the future of energy security.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer (Python)
✨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 Digital Waffle 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 Digital Waffle.
✨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 Digital Waffle.
✨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 Digital Waffle 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 Senior Backend Engineer (Python)
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 Digital Waffle.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Digital Waffle 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 Digital Waffle
✨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 Digital Waffle 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.
