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Staff Software Engineer - Context Model Core Team

Celonis · Munich · 60% remote · Digital Twins · Permanent

Schedule · ASAP - TBD

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Description

The Company & The Context Model

Celonis is the global leader in Process Intelligence and a pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, Celonis invests heavily in advanced AI capabilities, specifically their Process Intelligence Graph, to turn data insights into immediate business action.

The Celonis Context Model provides a real-time digital twin of enterprise operations, serving as the bridge between enterprise systems and AI. It captures how business actually flows across systems, giving organizations and AI agents the context needed to optimize complex workflows in real time.

The Team & Role

As an engineer on the Context Model Core team, you will shape the foundation powering the future of Enterprise AI and Process Intelligence. We are looking for a Full Stack Engineer to build the core capabilities for the Celonis Context Model, developing next-generation user-facing tools and robust backend services.

You will tackle full-stack engineering challenges end-to-end, from designing scalable microservices in Java (Spring Boot) to building rich, interactive UI components in Angular and TypeScript. You will work closely with product and design to transform abstract data modeling into fast, reliable, and joyful user experiences.

Key Responsibilities

  • Define, articulate, and drive the execution of the technical vision and strategy for the product area.
  • Lead the development of complex, critical-path components.
  • Drive application performance improvement for big data.
  • Play an active role in product discussions to shape roadmaps.
  • Set an example for technical excellence and improve developer experience.
  • Mentor and grow teammates.

Product Focus

  • Build core platform capabilities for the Celonis Context Model.
  • Enable customers to model business processes as they operate in reality.
  • Add semantic meaning to business data and make it efficiently queryable.
  • Partner with AI/ML teams to simplify and accelerate context modeling.
  • Enable connected, enterprise-wide process insights.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8+ years of product development experience with a strong track record of technical leadership.
  • Deep experience in architecting complex, distributed systems with large-scale data performance challenges.
  • Proven success in consistently delivering high-quality output and elevating team performance.
  • Ability to translate vague product requirements into concrete, executable technical roadmaps.
  • Strong communication and collaboration skills.
  • Preferred experience:
    1. Angular TypeScript
    2. Java Spring Boot