(Senior) Infrastructure Engineer (all genders)

Fuchs & Eule; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Fuchs & Eule in Berlin seeks an experienced infrastructure engineer to own and evolve our cloud and on‑prem hybrid stack. You will manage AWS (EKS, RDS, EC2, IAM) and Hetzner, drive IaC with Terraform/OpenTofu, and keep Kubernetes healthy across environments.

You will enable data scientists and engineers by building CI/CD pipelines, secure by design practices, monitoring, and incident response support. This role prizes pragmatic, collaborative problem solving and sharing of reusable templates

Qualifikationen

• Production-Grade Cloud Experience including AWS (EKS, RDS, EC2, IAM, networking) and openness to Hetzner hybrid setups.
• IaC and Kubernetes as core craft (OpenTofu/Terraform); solid scripting in Bash/Python; production Kubernetes troubleshooting.

Aufgaben

• Own and evolve AWS and Hetzner environments with IaC and Kubernetes clustering.
• Operate platforms to keep webapps, self-hosted tools, and ML stack running with solid monitoring and observability.

Kenntnisse

AWS experience

IaC & Kubernetes

ML/LLM ecosystem familiarity

Collaborative mindset

Jobbeschreibung

Your Responsibilities

• Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastructure as Code, running, scaling, and upgrading our Kubernetes clusters along the way

• Operate Our Platforms – You keep our webapps, self-hosted tools, and ML stack running in stable, secure production environments, with solid monitoring, logging, and alerting across systems – including observability for LLM-based workloads

• Keep Us Secure and Compliant– You handle patching, secrets management, access control, and backups, and support audits and certification efforts as part of your routine work

• Build Paved Roads for Engineers and Data Scientists – You provide the containerization, CI/CD, and deployment tooling that let both teams ship and run their own services – from webapps to RAG pipelines – enabling rather than taking over, as deployment stays a shared responsibility

Your profile

• Production-Grade Cloud Experience – You bring strong hands‑on AWS experience (EKS, RDS, EC2, IAM, networking) and are open to hybrid setups including bare‑metal/VPS providers like Hetzner

• IaC and Kubernetes as Your Craft – Infrastructure as Code is your default working mode (OpenTofu/Terraform), backed by solid scripting skills (e.g. Bash, Python) and confidence troubleshooting Kubernetes in production

• Fluent in the ML/LLM Ecosystem – You're conceptually familiar with RAG architectures, vector databases (e.g. Qdrant), and ML tooling (e.g. MLflow, Langfuse) – enough to speak the data scientists' language and support their infrastructure needs; deep hands‑on ML engineering is explicitly not required

• Enabler Mindset, Pragmatic Approach – You share knowledge through pairing, reviews, and reusable templates, explain trade‑offs clearly to any audience, prioritize autonomously, and choose "good enough" over over‑engineered