At a Glance
- Tasks: Build AI-driven solutions and collaborate with diverse teams to innovate retail intelligence.
- Company: Join EDITED, the leading AI retail intelligence platform with a dynamic culture.
- Benefits: Enjoy flexible working, 25 days annual leave, health perks, and a dog-friendly office.
- Other info: Embrace a culture of creativity, collaboration, and continuous growth.
- Why this job: Make a real impact on global brands while developing your skills in a supportive environment.
- Qualifications: 5+ years in backend engineering, proficiency in Python, and a passion for AI.
The predicted salary is between 70000 - 85000 £ per year.
About EDITED
About EDITEDEDITED is the world's leading AI-driven retail intelligence platform.
We empower the world's most successful brands and retailers with real-time decision making power.
By connecting internal business and external market data, EDITED infuses intelligence into every retail decision.
We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation.
At EDITED, we foster a dynamic and inclusive culture where creativity thrives and collaboration is at the heart of everything we do.
Our environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
We value diversity, transparency, and a shared commitment to excellence, creating a workplace where everyone's voice is heard and contributions are recognised.
We believe that achieving a positive work-life balance is key to driving innovation and success.
Our flexible working options- including hybrid working, flexible hours and a work from anywhere policy- empower our team to perform at their best.
Opportunity
You'd be joining a small engineering team with a large surface area.
That means variety, visible impact, and no waiting for permission to fix something.
You'll be building the platform the world's biggest brands and retailers use to make decisions every day.
A large part of that is now AI.
Our AI chatbot is live with customers, and there's plenty left to build - new agents, new tooling, new MCP integrations.
You'll also help evolve the infrastructure that processes retail data at a serious scale.
It's a rare mix: mature systems with real users, and genuinely new ground to break.
- What You’ll Be Doing
- Collaborate with cross-functional teams, including Product Managers, Data Scientists, Retail Analysts and Customer Success, to understand business requirements, identify problems, and develop innovative solutions.
- Build our AI chatbot, along with the agents, tooling and MCP integrations behind it - used both internally and by customers.
- Lead by example on how we build with AI, while raising the bar on code quality, testing and observability through review and mentoring.
- Scale and adapt our large-scale retail data infrastructure, spanning AWS and bare metal, as the demands of AI-driven products reshape our technical architecture.
- Own what you build end to end, from scoping the problem through to deploying, monitoring and iterating on it in production.
- What We’re Looking For In A Backend Engineer
It's important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset.
Essential
- 5+ years of experience in back-end engineering roles, with a track record of delivering complex projects and demonstrating technical leadership in a senior position.
Proven ability to take ownership of projects, drive results, and mentor team members to achieve success.
- Proficiency in Python and fluent in some *nix flavour.
- Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
- Strong understanding of data management, APIs, and infrastructure, with the ability to architect scalable solutions.
- Ability to adapt and learn new technologies quickly, with a passion for ensuring your code is maintainable, driven by a hands-on curiosity about AI.
Desirable
- Hands-on experience building with LLMs - agents, RAG, evals and tooling such as MCP.
- An active interest in Dev Ops and Machine Learning.
- Experience with frameworks like Django, Flask or Fast API, Elasticsearch or similar No SQL technologies, and relational databases.
Experience with large-scale data processing, including self-hosted or bare-metal environments.
What We Offer You
- Enhanced parental leave policy
- 25 days annual leave + public holidays (and an extra day for every year at EDITED)
- Simply Health Cash App for everyday health treatments and access to virtual health services
- Season Ticket Loan & Cycle to Work schemes
- Access to an Employee Assistance Programme
- Gifts for work anniversaries and big life events
- Dog friendly office
- We are set up to work remotely and utilise a hybrid approach within our London office
Find out more about working at EDITED here
We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.
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Backend Engineer in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer in London
✨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 Doist 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 Doist.
✨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 Doist.
✨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 Doist 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 Engineer in London
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 Doist.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist 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 Doist
✨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 Doist 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.