The opportunity
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…
What you'll do
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
What they're looking for
- 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
- 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
