Infrastructure Engineer

ElevenLabs is an AI research and product company transforming how people interact with technology through AI voice, audio, and agent platforms. The Infrastructure Engineer will build and operate the platform supporting the company’s research and product teams, including GPU and cloud infrastructure, Kubernetes clusters, data systems, automation, migrations, reliability, security, and cost efficiency.

Responsibilities:

• Run and scale Kubernetes clusters, including GPU clusters for inference and training, across cloud and on-prem
• Set up compute, networking, permissions and access for other teams as they grow
• Host and operate the data systems product teams depend on
• Build the tooling, automations and services that make infrastructure self-serve for the rest of the company, mainly in Python
• Take on large efforts, such as cluster builds and cloud migrations, and see them through end to end

Requirements:

• Deep, hands-on experience running Kubernetes in production at scale
• Strong experience with GCP, including designing, building and migrating cloud infrastructure end to end as an individual contributor
• Strong Python skills and a habit of solving infrastructure problems with code and automation
• Experience operating stateful systems (databases, Kafka) on behalf of other engineering teams
• Solid fundamentals in infrastructure as code, security and permissions, and the pragmatism to prioritise what matters in a fast-moving environment
• experience with GPU clusters or ML training/inference infrastructure (e.g. vLLM), on-prem/bare-metal or deep networking experience, or open-source contributions in the cloud-native community