Platform Engineer (AI)

TL;DR

Platform Engineer (Kubernetes/AWS): Building and operating the compute layer underpinning DeepL's AI products and research with an accent on hybrid infrastructure (on-prem and cloud) and GPU clusters. Focus on designing production-grade Kubernetes clusters, unifying workloads across AWS and on-prem hardware, and improving platform reliability.

Location: Hybrid in London (office attendance twice a week)

Company

DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems through its Language AI platform.

What you will do

• Own the reliability, capacity, and cost efficiency of CPU/GPU compute infrastructure across AWS and on-prem.
• Shape the platform's architecture and drive technical decisions for optimal system outcomes.
• Design, build, and operate production-grade Kubernetes clusters through their full lifecycle.
• Unify workload execution across on-prem hardware and AWS to support product and research teams.
• Define IaC and platform standards using Terraform and GitOps tooling like ArgoCD.
• Mentor engineers and lead incident response to ensure long-term platform resilience.

Requirements

• Deep, hands-on expertise in designing and operating Kubernetes clusters at scale.
• Strong experience with AWS or on-prem infrastructure (bare-metal or data center).
• Proficiency in Linux and networking for deep-level debugging from container to network edge.
• Experience with Infrastructure as Code (Terraform) and GitOps (ArgoCD) in production.
• Software engineering skills in Go or Python for building internal tools.
• Proven track record of technical ownership and reliability engineering discipline.

Nice to have

• Experience with GPU infrastructure for training or inference at scale.
• Knowledge of distributed storage systems, such as Ceph.
• Experience providing platform services to researchers or data scientists.
• Networking expertise at the BGP level in hybrid or on-prem environments.

Culture & Benefits

• Hybrid work schedule with office attendance twice a week and flexible hours.
• Virtual Shares providing employees with a stake in the company's growth.
• Monthly "Hack Fridays" for pursuing passionate projects and cross-team collaboration.
• 30 days of annual leave plus public holidays and access to mental health resources.
• Diverse, international environment with a team representing over 90 nationalities.