We are seeking a Senior DevOps/MLOps Engineer with 3–5 years of proven experience designing, deploying, and managing production infrastructures for enterprise applications and artificial intelligence solutions. The ideal candidate must have hands\-on experience with Linux, containerized environments, NVIDIA GPU servers, and process automation.
\* Strong expertise in Docker Compose and Ubuntu server administration.
\* Experience configuring Nginx or Traefik with automatic HTTPS provisioning.
\* Server security management, including firewalls, Fail2ban, and access control.
\* Implementation of automated backup solutions to Storage Box or other external repositories.
\* Installation and configuration of NVIDIA GPUs, NVIDIA Container Toolkit, and Ollama.
\* Deployment and optimization of AI models such as Qwen2\-VL.
\* Integration and workflow automation using n8n.
\* Proficiency in scripting (Bash/Python) and API integrations.
\* Install, configure, and secure Mayan EDMS, n8n, Ollama, and Qwen2\-VL.
\* Configure corporate domains, HTTPS certificates, and secure access mechanisms.
\* Enable and optimize GPU utilization for AI workloads.
\* Integrate, test, and validate the complete document\-processing workflow.
\* Implement automated backup procedures and maintain technical documentation.
\* Deliver a fully operational, secure, production\-ready solution.
Interested candidates are requested to send their updated resume along with the following details:
Work Location: In person
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