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As Senior Fullstack Engineer, you're owning the development of our AI platform that automates the architecture-level security reviews our consultants currently do by hand. You spend most of your time on the backend, building and extending the AI-integrated services, async pipelines and APIs that power our research platform. The rest is the interface layer, where consultants interact directly with the AI's output.

You’ll be part of a a small, tight-knit setup where every contribution counts. Whilst stakeholders communicate their requirements, you know how to put them into practice.

Activities

• Backend & API: Build and extend FastAPI endpoints, Celery task orchestration, PostgreSQL schemas, and GCS object storage; clean integration with the AI/ML pipeline.
• Data Flow Ownership: Design how the platform's data is stored, versioned, and served to the UI.
• Knowledge Approval Workflow: Design and extend the lifecycle layer for documents in the platform: data model, SLA tracking, escalation signals, and provenance metadata.
• Consultant-facing UI: Build the surfaces where AI output meets users: long running task UX, real time updates, and the path from polling to WebSocket/SSE streaming.
• End-to-End Delivery: Work with the AI team and an external UX designer to ship features from pipeline to UI – and own what works under the hood.
• Platform Reliability: Shape test strategies, structured logging, performance budgets, and the SDLC and agile practices the team needs as it grows.

Requirements

Must haves

• Fullstack experience: You bring 5+ years with recent production ownership of complex, enterprise-level software, ideally including AI-integrated workflows you've taken from pipeline to real users.
• Python and FastAPI at senior level: You design APIs, validate requests with Pydantic, handle errors cleanly, and integrate confidently with our AI/ML pipeline.
• PostgreSQL: You know your way around schema design, migrations, query optimization, and audit/versioning patterns.
• Async at scale: You're comfortable with streaming responses (SSE/WebSocket), bounded concurrency, retry strategies across nested boundaries, and idempotent task design with Celery or equivalent.
• Vector search: You have working knowledge of Weaviate, pgvector, or similar.
• LLM production experience: You've shipped features where LLM output flows end-to-end through real pipelines to real users in a live production environment, including streaming responses, structured output handling, retries, and graceful recovery from non-deterministic behaviour.
• React and TypeScript: You build data-driven UI for domain experts using state management like TanStack Query or Zustand, and you understand that AI/LLM product UX is fundamentally different from CRUD UX.
• Production deployment: You're at home with Docker, Kubernetes or equivalent, CI/CD, and observability tooling like Sentry or OpenTelemetry.
• End-to-end ownership: You've driven complete features or systems from architecture through to production, bringing a rounded understanding of how a platform fits together as a whole.
• Product judgement: You read a feature request and know whether it fits where the platform is going, and you speak up early, shaping engineering and design decisions to keep the consultant workflow strong.
• SDLC and agile practices: You've helped build these in a small team.
• English communication: You communicate confidently and clearly in English, spoken and written.

A real plus

• GCP experience: Cloud Run, GCS, Secret Manager, Vertex AI.
• Graph databases: You've worked with Neo4j or similar alongside vector search, or you're curious to pick them up fast.
• AI/LLM eval tooling: You're familiar with eval frameworks, prompt versioning, or regression testing on non-deterministic outputs.
• Security engineering: You know authn/authz patterns, session management, secrets handling, or you're familiar with OWASP, threat modelling, and MITRE ATT&CK.
• Test strategy: You've helped build testing practices systematically within a team.
• Domain background: You've worked in developer tools, data-heavy SaaS, or expert-facing products.
• German: You have language skills at A2+ level.

Team

We are the Guardians of Cyberspace: here, you’ll find a young, highly qualified and incredibly motivated team that not only understands cybersecurity, but lives and breathes it.

We work to the highest standards, think strategically, act with precision and focus on solutions that deliver sustainable results. For us, excellence isn’t just a buzzword, it’s our everyday standard.

At the same time, we know that the best results come from places where people feel at home. We share knowledge, embrace an open culture of learning from mistakes, give honest feedback and support one another in pushing our boundaries.

And, of course, we celebrate our shared moments too. Whether it’s Waffle Wednesday, our FIFA tournaments or our team events: we take our mission seriously, but ourselves not too seriously.

CLOUDYRION stands for ambition, curiosity and boundless energy. We work independently whilst pulling together as a team. Here you’ll find space for your ideas, trust in your decisions and an environment that values performance and lets your personality shine through.

In short: a team that wants to make a big impact without ever forgetting to have fun.

Application Process

Bewerbungsprozess

1. Your application and initial introduction

Show us who you are and what you’re passionate about. Whether it’s a creative video, a presentation, your own website or a traditional CV and supporting documents – one thing is key: be authentic.

If your application catches our interest, we’ll invite you to an initial virtual meeting. In a relaxed atmosphere over a drink, we’ll chat about you and your experience, and give you an insight into CLOUDYRION.

2. Technical interview on-site

In the next step, we’ll welcome you to our headquarters in Düsseldorf’s Medienhafen. You’ll get to know our office, the Guardians of Cyberspace, and experts from your future department. Together, we’ll discuss the role, technical topics, and your prospects at CLOUDYRION.

3. Case study with your team

Now is your chance to show what you can do. You’ll be given a task in advance, which you can prepare in your usual working environment. At the meeting, you’ll present your findings to your future team. To round things off, we’ll take time for a team lunch together and an open discussion.

4. Offer

If everything is a good fit for both sides, we will make you an offer. As soon as you sign, we will warmly welcome you as a new member of the Guardians of Cyberspace.

You can find information on data protection during the application process at CLOUDYRION here: https://app.cortina-consult.com/policy/669e02eec7788