Full-Stack Engineer: AI-Driven Product, Hybrid & Equity

Full-Stack Engineer: AI-Driven Product, Hybrid & Equity

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
DeepL

At a Glance

  • Tasks: Own end-to-end features and build the future of global communication.
  • Company: Join DeepL, a leader in AI-driven technology with a high-performance team.
  • Benefits: Hybrid work model, equity options, and opportunities for rapid career growth.
  • Other info: Fast-paced environment focused on quality and innovation.
  • Why this job: Make a real impact on global communication using cutting-edge AI tools.
  • Qualifications: Experience in C#.NET Core, Python, React, and Kubernetes is a plus.

The predicted salary is between 60000 - 75000 £ per year.

Deep L is hiring a Software Engineer to join a high-performance team focused on building the Operating System for Global Communication.

You will own end-to-end features, collaborate with senior engineers, and accelerate delivery using AI-assisted tooling.

The role emphasizes product impact, quality, and fast learning in a scale-ready environment.

You will work across the stack, using C#.

NET Core, Python, React, and Kubernetes, while delivering user-facing features that ship quickly and robustly.

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Full-Stack Engineer: AI-Driven Product, Hybrid & Equity employer: DeepL

DeepL is an exceptional employer that champions innovation and collaboration in the heart of Greater London. With a strong emphasis on employee well-being, we offer generous benefits such as 30 days of annual leave and virtual shares, alongside a vibrant work culture that encourages open communication and team bonding through regular in-person events. Join us to not only advance your career but also to contribute to shaping the future of global communication in a supportive and dynamic environment.

DeepL

Contact Details:

DeepL Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full-Stack Engineer: AI-Driven Product, Hybrid & Equity

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 DeepL 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 DeepL.

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 DeepL.

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 DeepL 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 Full-Stack Engineer: AI-Driven Product, Hybrid & Equity

C#.NET Core
Python
React
Kubernetes
End-to-End Feature Development
AI-Assisted Tooling
Collaboration

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 DeepL.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepL 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 DeepL

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 DeepL 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.