Careers at Cloud Nation

Open Rolesfor Engineers buildingproduction systems.

Context

We are a small, senior boutique consultancy working hands-on in cloud, data, and AI projects. Joining us means building real systems that run under real production conditions for clients and internal products.

Why these roles

Small teams. Direct ownership. Delivery that still holds after go-live.

These roles are based on our current job profiles. We condensed them for the website while preserving the core: technical depth, clear ownership, and motivation to build systems that work in daily operations.

Small teams, real ownership

You work close to architecture, implementation, and operations. Decisions are made by the people building the system, not delegated across layers.

Production enterprise systems

Our projects run inside real corporate and mid-market landscapes. That means real governance, real delivery responsibility, and technology that must hold up in day-to-day use.

Technical depth over slideware

We are looking for people who design clean systems, deliver pragmatically, and feel comfortable in code as well as architecture and stakeholder sessions.

Open roles

Four job profiles, each with a clear technical focus.

Every role starts with the same expectations: sound engineering, clear communication, and ownership for production outcomes.

Job Profile

Junior Data Engineer

You support the build-out of modern data platforms and learn production delivery in real client and internal projects.

Together with experienced data engineers, you will work on ETL/ELT pipelines, data models, and first steps in monitoring, data quality, and cloud operations.

Full-timeRemote in GermanySenior pairing on entry
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What you will do

  • Develop ETL and ELT pipelines and support live operations
  • Integrate multiple data sources into scalable platforms
  • Implement transformations and validations with Python and SQL
  • Improve monitoring, troubleshooting, and quality checks

What we look for

  • Initial hands-on experience in Python, SQL, and Git
  • Understanding of data pipelines and structured problem solving
  • Basic cloud familiarity (AWS, Azure, or GCP)
  • Learning mindset, initiative, and clear team communication
PythonSQLGitAWS / Azure / GCPdbtSparkPandas

Job Profile

Senior AI Engineer

You build production AI systems that combine LLMs, data pipelines, and backend services with reliable operations.

This role connects machine learning engineering, APIs, LLM integration, and platform operations. You build AI services and integrate models into enterprise landscapes with measurable quality and stability.

SeniorLLMs, APIs & MLOpsGerman C1 / English C1
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What you will do

  • Develop AI services and APIs for production enterprise use cases
  • Integrate LLM and retrieval systems into business workflows
  • Provide robust training and inference data pipelines
  • Establish deployment, monitoring, and observability for AI systems

What we look for

  • Strong Python skills and production-grade software engineering
  • Experience with ML models or LLM-based applications
  • Confidence in REST APIs, microservices, cloud, and CI/CD
  • Architecture quality, code reviews, and knowledge sharing
PythonFastAPILangChain / LangGraphVector DBsMLflowAWS / Azure / GCP

Job Profile

Senior Data Engineer / Data Architect

You lead complex cloud data initiatives and translate requirements into scalable, transparent systems.

You design lakehouse and warehouse architectures, establish delivery setups with Python, SQL, Terraform, and Docker, and drive decisions in governance, data quality, and stakeholder alignment.

Senior / LeadRemote plus quarterly MunichAWS or Azure
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What you will do

  • Design scalable, secure, and cost-efficient cloud data architectures
  • Build complex pipelines and integrations with Python, SQL, and cloud services
  • Establish Terraform and Docker delivery standards
  • Lead governance, validation, and stakeholder communication

What we look for

  • Several years in cloud data engineering or data architecture
  • Strong Python, SQL, data modeling, and lakehouse/warehouse fundamentals
  • Hands-on Terraform and Docker in repeatable delivery environments
  • Clear communication, ownership, and mentoring mindset
AWS / AzurePythonSQLTerraformDockerLakehouseData Governance

Job Profile

Senior Data Engineer, TypeScript & React

You combine data engineering with usable data applications and build frontend, API, and data flow as one system.

This role is for people who do not want to choose between platform and product. You build React/TypeScript data applications and connect APIs and data platforms with reliable operations.

SeniorData apps plus pipelinesCloud and CI/CD
Apply for this role

What you will do

  • Develop ETL/ELT pipelines and integrated data flows
  • Build React/TypeScript data applications for business users
  • Establish observability, monitoring, and automated quality checks
  • Collaborate with backend, PM, and business stakeholders on architecture

What we look for

  • Strong TypeScript, React, and modern engineering practices
  • Experience with REST APIs, Git, and production delivery
  • Confidence in cloud platforms, CI/CD, and complex frontend structure
  • Bonus: dbt, Spark, Pandas, or data visualization libraries
TypeScriptReactAPIsCI/CDCloudD3 / RechartsdbtSpark
Hiring process

Clear, direct, and without artificial loops.

01

Initial conversation

A first discussion about role fit, motivation, project context, and where your strengths are most valuable.

02

Technical deep dive

We discuss architecture decisions, delivery patterns, code ownership, and how you make systems production-ready.

03

Project fit & offer

If both technical and personal fit are strong, we align setup, scope, and a practical onboarding path.

Not sure yet?

If your focus is cloud, data, or AI, the message is still worth it.

Not every strong profile maps one-to-one to a published role. If your background matches our delivery style, we will review it thoroughly.

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