Jobless Developer

(Senior) Infrastructure Engineer (all genders)

BerlinOn-siteFull-time

AI Summary

Senior Infrastructure Engineer who owns and evolves AWS and Hetzner environments as code, operates webapps and an ML stack in production, ensures security and compliance, and enables engineering and data science teams with containerization, CI/CD, and deployment tooling.

About this role

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


Fuchs & Eule

  • We take our responsibility for a green future seriously and aim to make a significant contribution to CO2 reduction through our commitment to energy efficiency.

  • We are ambitious and constantly strive to improve. That’s why we give people the space to grow and take responsibility, and the support they need.

  • We are digital, innovative, customer focused and highly motivated to achieve great things with you.

  • We are a real team and support each other, speak our minds, have fun together and have a genuine desire to make a positive difference.

  • We understand the importance of in-person interactions versus virtual ones, which is why we have thoughtfully designed our office in Berlin and focus on team events. At the same time, we place a high value on flexibility, allowing our team to work from home two days a week.

Skills

AWSBashEC2EKSIAMKubernetesLangFuseMLflowOpenTofuPythonQdrantRAGRDSTerraform

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