Katonic AI
Website:
katonic.ai
Job details:
We're hiring: DevOps Engineer at Katonic AI (remote)
At Katonic AI, we build a Kubernetes-native MLOps, LLMOps & AgentOps platform that helps enterprises build, deploy, serve, and govern AI/ML workloads and autonomous AI agents across cloud and on-premises (sovereign) environments, including production-grade, GPU-accelerated training and inference, retrieval-augmented knowledge, tool-using and multi-agent systems, and built-in evaluation and guardrails.
We're looking for a hands-on DevOps Engineer (1+ years) to help operate and scale that infrastructure alongside our senior DevOps and platform engineers.
What you'll work on:
* Deploying and maintaining containerized apps on Kubernetes (RKE2 / managed clusters)
* Building images with Docker and packaging apps with Helm
* Improving CI/CD pipelines (GitHub Actions, ArgoCD)
* Operating our observability stack (Prometheus, Grafana, Loki)
* Writing automation in Python / Bash and troubleshooting networking, storage, and compute
What we're looking for:
* Solid Kubernetes and Docker fundamentals
* Comfort in Linux and the command line
* Familiarity with CI/CD and Git-based workflows
* Bonus: exposure to Istio/NGINX Ingress, a cloud provider (Azure/GCP/AWS), Terraform/Ansible, or MLOps/LLMOps tooling (vLLM, MLflow, Kubeflow, Ray)
If you're strong on cloud-native fundamentals and want to go deep on ML infrastructure with real ownership and mentorship, this is a strong growth role.
Apply here: https://rb.gy/p0sj8l
Please note: applications are reviewed only through the link above. Comments, DMs, or "interested" replies won't be considered; profiles that don't apply via the form won't be shortlisted.
Click on Apply to know more.