Network Engineer Cloud
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- from fast‑growing startups to large enterprises like Deutsche Telekom and Meta. 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. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. AI first: We use AI to move faster with higher‑quality results. We do this across the whole company—from engineering to growth to operations. Everything we do should match the quality of our AI models. 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. Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact
- beyond your immediate role and responsibilities. Social travel: If you’re not located near one of our main hubs,
we offer
a monthly co‑working stipend. 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. 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. 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. This role is remote and can be executed globally. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. #
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