Senior DevOps Engineer - AI Platform

 Posted 3 months ago
  
 Norway
  
5-10 years experience
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AI Summary

This role involves leading the migration to a global Hetzner-based infrastructure setup and implementing Infrastructure as Code using tools like Terraform. Responsibilities also include building comprehensive monitoring and observability across services and designing deployment pipelines for enterprise customers.

We are building Manta to be a full-stack, trustable and auditable AI CMO agent.

This includes deploying state-of-the-art per-company infrastructure, distributed globally closest to the customer for optimal latency. By using an in-house Context Graph architecture the underlying storage requires hundreds of gigabytes of RAM per host to be able to reason on the underlying datasets, which demands cost-efficient deployments and extensive monitoring. By combining edge computing and dedicated server/on-prem hosting, we offer the best user experience and data privacy for our customers.

This creates unique engineering challenges around large-scale data processing, distributed systems, and high-performance infrastructure.

This Role

  • Lead migration from managed hosting to a global Hetzner-based setup

  • Implement Infrastructure as Code using Terraform or similar

  • Build monitoring and observability across services

  • Design deployment pipelines that support enterprise customers

  • Contribute to building secure on-prem deployment capability

  • Improve performance, cost efficiency, and system stability

What We’re Looking For

  • Senior-level DevOps / Infrastructure experience

  • Strong Terraform or similar IaC tooling

  • Solid cloud infrastructure background

  • Experience with Docker and containerized environments

  • Monitoring setup experience such as Grafana or Prometheus

  • Strong understanding of networking fundamentals

  • Comfortable owning infrastructure end-to-end, along with developers

Nice to have:

  • Experience with bare-metal hosting

  • Kubernetes/Dokploy/Docker Swarm experience

  • Tailscale/Wireguard-based networking setups

  • Startup or small-team experience

Why Join

  • Real ownership of a post-LLM AI architectures’ infrastructure

  • Work on enterprise-grade systems from early stage

  • High impact in a small, senior team

  • Modern stack without legacy baggage

  • Remote-first environment

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