We are searching for intelligent and innovative employees for our Automotive customers as Mercedes-Benz, Porsche and Robert Bosch. If you are interested in working for a dynamic company with flat hierarchy, we look forward to receiving your application.

Your tasks:

  • Responsible for planning, coordination and monitoring of the Base Layer SWF development
  • Define end-to-end workflows and pipelines in close collaboration with our experts
  • Automate configuration and integration of AUTOSAR software into Base Layer SWF
  • Guide customers use and integration from are customers automation products through the project lifecycle
  • Troubleshooting and root cause analysis of issues
  • Participation in internal, customer, supplier and OEM meetings

Your profile:

  • Strong fundamentals programming in JVM languages; Python, Powershell or Bash, DevOps concepts, and software build and test processes
  • Familiar with Classic AUTOSAR, SCRUM/SAFe, AWS, Azure or GCP
  • Clear understanding of agile principles and experience with RTE architecture, operating systems such as Linux and Windows
  • Hands-On experience in automating products of are customers such as: DaVinci Configurator, DaVinci Team, VTT
  • Experience with software engineering tools (JIRA, GIT, ALM) and automation tools GitLab CI/CD, GitHub Actions, TeamCity, and Artifactory
  • Very good knowledge of English, some German would be nice

You can expect …

  • Experience in exciting and international projects
  • Continuous salary development
  • Da Vinci Corporate Benefits
  • On-the-job training and language courses
  • Appreciation, motivation and commitment

Nothing provides more motivation than success. Da Vinci Engineering is highly committed to ensuring the own employees' success. Become a part of us!

Teile dieses Stellenangebot:
Stellendetails:
Einsatzort

70178 Stuttgart Deutschland

Referenznummer

18602

Kontakt:

Herr Jörg Machatzke

Da Vinci Engineering GmbH

Hauptstätter Straße 149

70178 Stuttgart

+49 711 72240 161

job@davinci.de

+49 711 72240 198

Auszeichnungen:
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