About DeepL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. More than 200,000 business customers and millions of individuals across 228 global markets trust DeepL’s Language AI platform for human-like translation, improved writing, and real-time voice translation.
Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.
What Sets Us Apart
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.
What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being.
Meet the Team Behind This Journey
You will join the Hybrid Platform Engineering track, which builds and operates the compute layer underpinning DeepL’s products and research. This includes the Kubernetes control plane, node lifecycle, networking, storage, and core cluster services across both on-premises and cloud infrastructure.
Today, that spans hybrid infrastructure in Europe, including large on-premises GPU clusters powering DeepL’s research and hundreds of on-premises GPU nodes serving production inference, as well as AWS regions across the globe running the product.
The track is deepening this hybrid model, unifying how workloads run across on-premises hardware and AWS to give product and research teams a self-service foundation they can build on.
Your Responsibilities
- Take ownership of the reliability, capacity, and cost efficiency of DeepL’s compute infrastructure across CPU and GPU environments, including the hybrid platform serving our products across AWS and on-premises infrastructure and the clusters powering our research.
- Own the hardware lifecycle of our infrastructure and help ensure long-term platform reliability.
- Shape the platform’s architecture by bringing strong technical positions, weighing them on their merits with your peers, and committing to decisions that serve the best outcome.
- Design, build, and operate production-grade Kubernetes clusters across cloud and on-premises infrastructure, taking them from design through long-term operation.
- Drive the technical work of deepening the hybrid model, unifying how workloads run across on-premises hardware and cloud infrastructure, especially AWS.
- Support research teams as they adopt cloud-native technology and ways of working.
- Define infrastructure-as-code and platform standards that hold across the track.
- Strengthen observability and security so the platform’s behavior is clear and understandable to the teams that depend on it.
- Mentor engineers across the infrastructure track and raise the technical bar through design reviews, architecture decisions, and everyday engineering practices.
- Build consensus across engineering teams and turn it into shipped change, shaping platform direction at track level.
- Lead incident response for hybrid infrastructure, driving remediation through to root cause.
- Help sustain an on-call rotation that the team can operate effectively over the long term.
What You Bring to the Table
- Deep, hands-on Kubernetes expertise: You have designed, built, and operated clusters at scale through their full lifecycle.
- Infrastructure depth at scale: You have strong experience in either public cloud or on-premises infrastructure, plus the credibility to work in the other. AWS experience is preferred, while bare-metal or data center experience is strongly valued.
- Networking and Linux expertise: You can debug complex problems by following them from a container through the host to the network edge.
- Infrastructure as code: Experience with Terraform or an equivalent technology, as well as GitOps delivery with tooling such as ArgoCD, applied to production environments you have owned.
- Software engineering skills: Experience with at least one major programming language, with Go or Python preferred, at the level of building tooling that other engineers rely on.
- Technical ownership: A track record of spanning several teams, creating clarity where mandates cross team boundaries, holding clear technical positions, changing them based on evidence, and bringing other engineers along with you.
- Reliability and incident management: Strong incident-management and reliability-engineering discipline, combined with an ownership mindset focused on building more resilient systems.
You’d Get Bonus Points For
- GPU infrastructure for training or inference at scale.
- Experience with distributed storage systems in production, such as Ceph.
- Experience serving researchers or data scientists as platform customers.
- BGP-level networking in a hybrid or on-premises environment.
What We Offer
- Diverse and internationally distributed team: Join a global community representing more than 90 nationalities. Our employees are based across the UK, Germany, the Netherlands, Poland, the US, and Japan, and our global presence continues to grow.
- Open communication and regular feedback: We value clear, honest communication, smooth collaboration, direct and actionable feedback, empathy, and a growth mindset.
- Hybrid work and flexible hours: Team members generally come into the office twice a week while enjoying the flexibility of working from home. Working hours are flexible, with trust in your productivity and consideration for team locations and time zones.
- Virtual Shares: Every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and giving you a stake in our future success.
- Regular in-person team events: Take part in local team and business-unit gatherings, new-joiner onboardings, and company-wide events.
- Monthly Hack Fridays: Spend a full day each month diving into a project you’re passionate about and collaborating with colleagues across teams.
- 30 days of annual leave: Enjoy 30 days off, excluding public holidays, along with access to mental health resources.
- Competitive benefits: Our benefits package spans the globe and is tailored to your location to ensure you feel supported every step of the way.
Join Us
If this role and our mission resonate with you, but you’re hesitant because you don’t check all the boxes, don’t let that hold you back. At DeepL, it’s all about the value you bring and the growth we can foster together.
Go ahead and apply — let’s discover your potential together. We can’t wait to meet you!
We Are an Equal Opportunity Employer
You are welcome at DeepL for who you are — we appreciate authenticity here. Our product is for everyone, and so is our workplace.
The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward. So bring us your personal experience, perspectives, and background.
It’s in our diversity that we will find the power to break down language barriers in the world.
