2 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.
- Design, build, and operate production-grade Kubernetes clusters throughout their full lifecycle.
- Shape platform architecture and make technical decisions across the infrastructure track.
- Unify workload operation across on-premises hardware and AWS while supporting research teams adopting cloud-native technology.
- Define infrastructure-as-code and platform standards and improve observability and security.
- Mentor infrastructure engineers through design reviews, architecture decisions, and maintainability practices.
- Build consensus across engineering teams and drive platform changes through delivery.
- Lead hybrid-infrastructure incident response, remediation, root-cause analysis, and sustainable on-call operations.
Requirements
- Deep hands-on experience designing, building, and operating Kubernetes clusters at scale through their full lifecycle.
- Depth in public cloud or on-premises infrastructure, with the ability to work effectively across both; AWS experience is preferred and bare-metal or data-center experience is strongly valued.
- Strong Linux and networking skills, including debugging from containers through hosts to the network edge.
- Production experience with Terraform or equivalent infrastructure-as-code tooling and GitOps delivery tools such as ArgoCD.
- Software engineering ability in at least one major language, preferably Go or Python, including building tools used by other engineers.
- A track record of technical ownership across multiple teams and the ability to establish, communicate, and adapt technical direction.
- Strong incident-management and reliability-engineering discipline.
- Bonus experience with GPU infrastructure for training or inference, distributed storage such as Ceph, researcher or data-scientist platform customers, or BGP-level networking.
Benefits
- Hybrid work with office attendance twice a week and flexible working hours.
- Virtual Shares for every employee.
- Regular in-person team and company events.
- Monthly full-day Hack Friday sessions.
- 30 days of annual leave excluding public holidays and access to mental health resources.
- Competitive location-tailored benefits and an internationally distributed team.
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.