Staff Platform Engineer

DeepL Voice is seeking a Staff Platform Engineer to join their Hybrid Platform Engineering team, which supports the foundational compute systems for AI products and research efforts. This team manages Kubernetes clusters deployed on both on-premises GPU hardware and AWS cloud infrastructure, ensuring smooth operation for various internal teams. The role involves enhancing and maintaining this hybrid environment to enable scalable and dependable AI services.

The engineer will be responsible for overseeing the performance, scalability, and resource management of DeepL's hybrid compute platform. Key tasks include designing and managing Kubernetes clusters, integrating workload orchestration across cloud and on-premises systems, establishing infrastructure-as-code practices, improving system monitoring and security, mentoring colleagues, leading incident resolution, and guiding platform architecture through collaborative decision-making.

Ideal candidates will have extensive Kubernetes experience, familiarity with large-scale cloud or on-premises infrastructure (preferably AWS), strong skills in networking and Linux troubleshooting, and expertise with infrastructure-as-code tools such as Terraform and GitOps. Proficiency in programming languages like Go or Python and a proven record of technical leadership across teams are important. Additional experience with GPU infrastructure, distributed storage, research support, and advanced networking is advantageous. This hybrid role is based in London within a diverse, rapidly expanding AI company.