We are looking for an experienced DevSecOps / Platform Engineer (DevSecOps + AI Infra) to build, secure, and scale our fully self-hosted production environment across Hetzner, Kubernetes, Kafka, MinIO, GitLab, Redis, and AI/LLM infrastructure. This role includes complete ownership of production readiness, platform stability, observability, and deployment of self-hosted AI/ML models (LLMs, embeddings, vision models) on GPU/CPU infrastructure

Responsibilities

Infrastructure & Production Readiness including server sizing, subnetting, and firewalls.
CI/CD & Source Control setup using GitLab with secure pipeline management.
Kubernetes Cluster Engineering for cluster management and scaling.
Monitoring, Observability & Logging setup using Prometheus and Grafana.
Storage & Object Storage management using MinIO.
Networking, Security & TLS configuration with Cloudflare.
Containers & Image Management best practices.
Database management including PostgreSQL and MongoDB.
Kafka Readiness for high availability and monitoring.
Infrastructure as Code (Terraform) provisioning.
AI / ML / LLM Infrastructure deployment and management.

Qualifications

Mid-level (4–10 years)
Bachelor's in Computer Science or related field
Strong Kubernetes, Linux, networking, and Terraform expertise.
Experience with self-hosted AI/LLM models (Ollama, vLLM, TGI). Hands-on with GPU setups, CUDA, inference optimization.
Strong observability & security foundations.

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DevSecOps Engineer