Staff Platform Engineer

Job summary

Responsibilities

Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey.

• 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…
• 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…
• 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…

What they're looking for

• 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…
• 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

Tech stack

• Kubernetes
• AWS
• Terraform
• Go
• Python