17 days ago
London, United KingdomStaff+
Responsibilities
- Own the reliability, capacity, cost efficiency, and hardware lifecycle of hybrid CPU and GPU compute infrastructure across AWS and on-premises environments.
- Shape platform architecture and make technical decisions that serve platform-wide outcomes.
- Design, build, and operate production-grade Kubernetes clusters through their full lifecycle.
- Drive the unification of workloads across on-premises hardware and AWS while supporting cloud-native adoption by research teams.
- Define infrastructure-as-code and platform standards and strengthen observability and security.
- Mentor infrastructure engineers through design reviews, architecture decisions, and maintainability practices.
- Build consensus across engineering teams and turn platform direction into shipped changes.
- Lead hybrid infrastructure incident response, drive remediation to root cause, and help sustain a long-term on-call rotation.
Requirements
- Deep hands-on experience designing, building, and operating Kubernetes clusters at scale through their full lifecycle.
- Strong experience at scale with public cloud or on-premises infrastructure, with AWS preferred and bare-metal or data center experience strongly valued.
- Strong networking and Linux debugging skills spanning containers, hosts, and network edges.
- Production experience with infrastructure as code using Terraform or an equivalent and GitOps delivery using tooling such as ArgoCD.
- Software engineering ability in at least one major language, with Go or Python preferred, including building tooling used by other engineers.
- Demonstrated technical ownership across multiple teams, including making evidence-based technical decisions and driving alignment.
- Strong incident-management and reliability-engineering discipline.
- Bonus experience with GPU infrastructure for training or inference, distributed storage such as Ceph, platform support for researchers or data scientists, or BGP networking in hybrid or on-premises environments.
Benefits
- Hybrid work with flexible hours and team members generally working from the office twice per week.
- Virtual Shares for every employee.
- Regular in-person team and company events.
- Monthly full-day Hack Fridays for passion projects and cross-team work.
- 30 days of annual leave excluding public holidays and access to mental health resources.
- Location-tailored competitive benefits.
About DeepL
DeepL builds AI language tools, including the DeepL Translator web and mobile apps, an API for developers, writing assistance, and real-time voice translation for individuals and global businesses. It sells subscriptions and API usage to companies that need high-quality multilingual communication. Founded in 2017 and headquartered in Cologne, Germany, DeepL serves over 200,000 business customers across more than 200 markets.