ML/AIWork

Senior DevOps Engineer - AI Platform

Staffer · Remote · Oslo

Job description

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 tools
  • 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
  • You care about reproducible development environments and may already be using Nix, devenv, or similar tooling
Nice to have:
  • Experience with bare-metal hosting
  • Kubernetes/Dokploy/Docker Swarm experience
  • Tailscale/Wireguard-based networking setups
  • Startup or small-team experience
  • Nix or other reproducible build systems
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

ML/AI Work links you to the employer's original posting — always verify the details there before applying.

More MLOps and Platform roles

View all →
Senior DevOps Engineer - AI Platform
Staffer
Apply →