Infrastructure Engineer

• ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

How we work

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

What we offer

• Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

About the role

We’re hiring Infrastructure Engineers to build the platform every ElevenLabs team ships on. From the GPU clusters that train and serve our models to the cloud platform our product teams build on, you’ll own the infrastructure that millions of users and thousands of businesses depend on.

You’ll work directly with research, product, security and safety engineers to launch new infrastructure, scale it as their needs grow, and lead the migrations and platform improvements that make it more reliable, secure and cost-efficient.

• 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.

We’re a flat team, so you’ll be hands-on from day one. You have strong opinions about doing things right, and you can still move fast when parts of the stack aren’t perfect.

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.

Bonus: 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.

Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.