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Software Engineer – Workflow Innovation & Process Automation (Java, Camunda) (m/f/x)

Ludwig-Maximilians-Universität München
München

Direkt bewerben

Details zur Stelle

Teilzeit | Vollzeit

Leistungen

Homeoffice-Möglichkeit
Flexible Arbeitszeiten

Qualifikationen

Spring Boot
CI/CD
Informatik
React
Kubernetes
Informationssysteme
Java
Docker
Produktentwicklung
REST
Softwareentwicklung
APIs
Künstliche Intelligenz
GitLab
Spring

Vollständige Stellenbeschreibung

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.

Institution Hochschulleitung Remuneration group TV-L Full-time / Part-time Full-time (100%) Start date At the earliest possible date, on an initial two-year fixed-term contract.

We are looking for you:

Software Engineer – Workflow Innovation & Process Automation (Java, Camunda) (m/f/x)

in Munich

Your tasks and responsibilities:

You will design and implement modern workflows and automation solutions, including exploratory digital solutions that test how modern technologies can improve processes, services, and collaboration. The role sits at the intersection of process automation, backend development, system integration, and emerging technologies such as AI-supported workflow and information processing.

Working with technologies such as Camunda, Java, Spring Boot, REST APIs, GitLab, Docker, and Kubernetes, you will contribute to prototyping, validating, and scaling solutions that can become part of a broader digital ecosystem and improve how a large public institution operates and delivers services.

Your responsibilieties in detail:

Design, develop, and refine pilot applications, prototypes, and exploratory solutions for digitalization and process automation
Build and orchestrate digital workflows, especially in the context of Camunda and BPMN
Develop backend components and services using Java and Spring Boot
Integrate workflows and applications into existing system landscapes via REST APIs, for example with line-of-business systems, e-file solutions, DMS, or paperless environments
Explore and prototype how AI-supported approaches can be applied in practice to improve workflows, knowledge handling, service delivery, or process support
Test new technologies and implementation approaches in order to assess their feasibility, value, and scalability
Work closely with business units, IT, and project teams to turn requirements into practical and future-oriented solutions
Contribute to the evolution of a central platform for digitalization, automation, and innovation, with room for experimentation and technical co-creation
Help shape sound technical foundations through clean code, sustainable architecture, and pragmatic implementation standards

Your qualifications:

Experience with or strong interest in digitalization, workflow design, process automation, or exploratory product development
Experience designing and integrating REST APIs, interfaces, and system integration
Solid understanding and hands-on experience of software development, ideally with Java and Spring Boot
A degree in computer science, information systems, or a related field, or a comparable qualification (e.g., completed vocational training in IT such as Fachinformatiker/in), or equivalent practical experience
Interest in developing and testing pilot use cases, proofs of concept, and iterative digital solutions
Curiosity about emerging technologies, especially the practical use of AI in digital processes and services
Basic understanding of modern development and deployment practices such as GitLab, CI/CD, Docker, or Kubernetes
A structured and solution-oriented way of working, with the ability to translate complex requirements into understandable digital solutions
Strong collaboration skills, initiative, willingness to learn, and an experimental mindset

Nice to have

Experience with Camunda and/or BPMN
Basic knowledge of React or other frontend technologies
Exposure to RPA, for example with Robot Framework
Experience integrating legacy systems into modern digital environments
First practical experience with AI-enabled applications, prototyping, or automation use cases
Interest in administrative, organizational, or public-sector processes and their digital transformation

Benefits:

A responsible and technically engaging role within the executive domain of one of Europe’s leading universities
A high degree of autonomy and room to experiment with new technologies
Direct impact on university-wide digital transformation initiatives
Salary according to the German public sector pay scale (), depending on qualifications and experienceInitially limited to two years, with potential for extension
30 days of annual leave, plus additional days off on December 24 and 31
Flexible working hours and the option for remote work
A centrally located workplace in Munich with excellent public transport connections
Opportunities for professional development and training
Attractive social benefits and support for work-life balance, including childcare options

Further information about working at LMU Munich can be found on our .

Also possible in a part-time capacity.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

Please submit your complete application via our application portal by June 14, 2026.

Where knowledge is everything.

LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.

In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our . By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.

Ludwig-Maximilians-Universität München
Geschwister-Scholl-Platz 1
80539 München

Direkt bewerben

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