Staff Platform Engineer

📋 Description

• • Meet DeepL, 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 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 a meaningful impact.
• • To achieve this, we need talented people like you to join our journey.
• • You will join the Hybrid Platform Engineering track, which builds and operates the compute layer underpinning DeepL's products and research: the Kubernetes control plane, node lifecycle, networking, storage and core cluster services, across both on-prem and cloud infrastructure.
• • Your responsibilities will include taking 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.
• • You will shape the platform's architecture, design, build and operate production-grade Kubernetes clusters across cloud and on-prem infrastructure, taking them from design through to long-term operation.
• • You will 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.
• • You will 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.
• • You will 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.
• • You will build consensus across engineering teams and turn it into shipped change, shaping platform direction at track level.
• • You will 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.
• • You will bring deep, hands-on Kubernetes expertise, depth at scale in either public cloud or on-prem infrastructure, plus the credibility to work in the other.
• • You will have networking and Linux depth you can debug with, infrastructure as code with Terraform or equivalent, and GitOps delivery with tooling such as ArgoCD, applied to environments you have owned in production.
• • You will have software engineering skills in at least one major language, Go or Python preferred, at the level of building tooling other engineers rely on.
• • You will have a track record of technical ownership spanning several teams, creating clarity where a mandate crosses team boundaries, holding clear technical positions, changing them on evidence and carrying other engineers with you.
• • You will have strong incident-management and reliability-engineering discipline, and the ownership mindset to build more resilient systems.
• • You will get bonus points for 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, and networking at BGP level in a hybrid or on-prem environment.
• • We offer a diverse and internationally distributed team, open communication, regular feedback, hybrid work, flexible hours, virtual shares, regular in-person team events, monthly full-day hacking sessions, 30 days of annual leave, and competitive benefits.