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Lufthansa Group

Full Stack Engineer

Lufthansa Group
Cologne, NW500+ employeesSkilled
Full-time
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This job is at Lufthansa Group. You apply to them, not to GoAusbildung.

  • Start Date

    On request

  • Sector

    IT

  • Salary

    Competitive salary

Listing data as of November 1, 2026

About this Apprenticeship

As a Full Stack Engineer, you will build and scale critical digital products across the full stack, mainly within the Ops Digital Heartbeat initiative. This program focuses on creating scalable, data-driven solutions for operational processes. You will own complex systems, shape architecture, and work closely with engineering and domain teams to deliver modern cloud-native solutions.

What You'll Learn

  • Integrating mathematical optimization engines and Generative AI capabilities into production-grade enterprise applications (key part of this role)
  • Design and implement end-to-end features across backend and frontend
  • Build and evolve scalable microservices and APIs using Java (Spring Boot)
  • Develop high-quality frontend applications using Vue.js
  • Ensure high code quality through testing, code reviews, and engineering best practices
  • Collaborate closely with Product, Design, and Engineering teams
  • Optimize systems for performance, scalability, and reliability
  • Support and mentor other engineers through technical guidance and feedback.

Requirements

  • 5+ years of experience in software engineering
  • Strong expertise in Java and Spring / Spring Boot
  • Experience building microservices and REST APIs at scale
  • Solid frontend experience with React or Vue. Strong knowledge of JavaScript / TypeScript, HTML, CSS
  • Platform & Engineering Practices: Experience with cloud platforms (Azure, AWS, or GCP); Strong understanding of containerization (Docker) and Kubernetes; Experience with CI/CD and DevOps collaboration
  • Strong knowledge of testing strategies
  • Exposure to or experience with Operations Research (OR) concepts and ecosystems: MILP/LP modeling, constraint programming, scheduling, routing, forecasting
  • Experience with agent frameworks and protocols (e.g., LangGraph, Pydantic AI, Model Context Protocol / MCP)

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