Senior Software Engineer

DeepL; Greater London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

30 days annual leave

Mental health resources

Regular team events

Location-tailored benefits

Job summary

DeepL in London (UK) is seeking an adaptable engineer who can own revenue-critical systems, ship features, and drive architecture at scale. The role blends system thinking with a polyglot tech approach across the full stack, including AI-enabled delivery and code acceleration.

You will thrive in a fast-paced setting with high agency, collaborating with Product Managers to translate constraints into value while delivering secure, scalable solutions from the core product to enterprise domains.

Qualifications

• System thinking to understand failure modes, boundaries and how code affects architecture at scale.
• Track record of shipping features that solve real business problems.
• Ability to unblock self and team in a fast-paced environment.
• Comfort with polyglot tech and full-stack work.

Responsibilities

• Own revenue-critical systems from problem definition through architectural design, deployment, and production reliability.
• Make high-stakes technical decisions with incomplete information by identifying risks and iterating from real-world feedback.
• Translate complex technical constraints into business terms for Product Managers for informed trade-offs.
• Choose technologies that solve customer problems and support long-term maintainability.
• Build across our stack including core product, platform, voice, and enterprise areas.
• Leverage AI-powered tools for boilerplate code, tests, debugging, and other repetitive tasks.

Skills

System thinking

Bias for action

Product fluency

Polyglot engineering

C#/.NET Core

React

AI tooling

Tools

C#

React

ASP.NET

API

GitHub

Kubernetes

Python

Copilot

UX UI Design

Job description

Salary: £60,000 - 100,000 per year

Requirements:

• We look for a system thinker who understands failure modes, system boundaries, and how code impacts architecture at scale.
• We value high agency and a bias for action, with the ability to unblock yourself and the team in a fast-paced environment.
• We want someone with strong product fluency who cares about user needs and has a track record of shipping features that solve real business problems.
• We value polyglot and adaptable engineers who can pick up the right tool for the job and work across the full stack.
• Experience with C#/.NET Core or React is a bonus.
• We value engineers who use AI-powered tools to accelerate delivery and reduce repetitive work.

Responsibilities:

• Own revenue-critical systems from problem definition through architectural design, deployment, and production reliability.
• Make high-stakes technical decisions with incomplete information by identifying risks, building prototypes, and iterating from real-world feedback.
• Translate complex technical constraints into business terms for Product Managers so we can make the right trade-offs and ship value faster.
• Choose technologies that solve customer problems effectively and support long-term maintainability.
• Build across our stack as needed, including core product, platform, voice, and enterprise areas.
• Leverage AI-powered tools for boilerplate code, test generation, debugging, and other repetitive tasks.

Technologies:

• AI
• C#
• Support
• React
• ASP.NET
• API
• Architect
• Copilot
• GitHub
• Kubernetes
• Network
• Python
• UX UI Design

More:

We are DeepL, a global AI product and research company building secure, intelligent solutions for complex business problems and trusted by over 200,000 business customers and millions of individuals across 228 global markets. We are building the Operating System for Global Communication and developing the full stack in-house, from next-generation LLMs to real-time Language AI. Our team is passionate, high-performing, and internationally distributed across more than 90 nationalities, with employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan. We offer a hybrid work model with two office days per week, flexible hours, open communication, regular feedback, virtual shares, monthly Hack Fridays, regular in-person team events, 30 days of annual leave, mental health resources, and competitive location-tailored benefits. This role is based in London within our Engineering department.