(Senior) Infrastructure Engineer (all genders) at Fuchs Eule Energy Experts

Berlyn, Lviv Oblast, Ukraine -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Kubernetes, Infrastructure as Code, Terraform, OpenTofu, Python, Bash, CI/CD, EKS, RDS, EC2, IAM, RAG Architectures, Vector Databases, MLflow, Langfuse

Industry

Services for Renewable Energy

Description

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. About us We want as many properties as possible to undergo energy-efficient renovations. To achieve this, we combine energy expertise with digital innovation. Because now is the time to act to fight the climate crisis. Buildings are responsible for a large proportion of global CO₂ emissions. Germany’s existing building stock must be extensively renovated to achieve its climate targets. We support major owners, portfolio operators and property managers as well as private owners with individual renovation concepts, optimal advice on subsidies and practical project support.

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Responsibilities

Own and evolve AWS and Hetzner environments using Infrastructure as Code while managing Kubernetes clusters. Provide containerization and CI/CD tooling to enable engineers and data scientists to deploy webapps and RAG pipelines.