About DeepL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation.
Responsibilities
•Take ownership of the reliability, capacity and cost efficiency of DeepL's compute infrastructure, CPU and GPU: the hybrid platform serving our products across AWS and on-prem, and the on-prem clusters powering our research, including their hardware lifecycle
•Shape the platform's architecture: bring strong technical positions, weigh them on their merits with your peers, and commit to decisions serving the best outcome
•Design, build and operate production-grade Kubernetes clusters across cloud and on-prem infrastructure, taking them from design through to long-term operation
•Drive the technical work of deepening the hybrid model - unifying how workloads run across on-prem hardware and cloud, especially AWS and supporting research as it adopts cloud-native technology and ways of working
•Define infrastructure-as-code and platform standards that hold across the track, and strengthen observability and security so the platform's behaviour is legible to the teams that depend on it
•Mentor engineers across the infrastructure track and raise the technical bar of the group, through design reviews, architecture decisions and the everyday habits that keep the platform maintainable
•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, and help sustain an on-call rotation the team can carry for the long term
Requirements
•Deep, hands-on Kubernetes expertise: you have designed, built and operated clusters at scale, through their full lifecycle
•Depth at scale in either public cloud or on-prem infrastructure, plus the credibility to work in the other. AWS experience is preferred, and bare-metal or data centre experience is strongly valued
•Networking and Linux depth you can debug with: you can follow a problem from a container through the host to the network edge
•Infrastructure as code with Terraform or equivalent, and GitOps delivery with tooling such as ArgoCD, applied to environments you have owned in production
•Software engineering skills in at least one major language, Go or Python preferred, at the level of building tooling other engineers rely on
•A track record of technical ownership spanning several teams: you create clarity where a mandate crosses team boundaries, hold clear technical positions, change them on evidence and carry other engineers with you
•Strong incident-management and reliability-engineering discipline, and the ownership mindset to build more resilient systems
Nice to have
•GPU infrastructure for training or inference at scale
•Distributed storage systems in production, such as Ceph
•Having served researchers or data scientists as platform customers
•Networking at BGP level in a hybrid or on-prem environment
Conditions
•Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. Our global presence is growing - we've doubled in size nearly every year, with employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan
•Open communication, regular feedback: clear, honest communication, direct and actionable feedback, leading with empathy and growth mindset
•Hybrid work, flexible hours: team members come into the office twice a week, with flexible working hours
•Virtual Shares: every employee receives Virtual Shares, linking contribution directly to DeepL's growth
•Regular in-person team events: local team and business unit gatherings, new-joiner onboardings, company-wide events
•Monthly full-day hacking sessions: Hack Fridays, time to work on a project you're passionate about with other teams
•30 days of annual leave (excluding public holidays) and access to mental health resources
•Competitive benefits package tailored to your location
