Content Platform & Toolchain Engineer (human)

Atlas Metrics

Gemeindeverwaltungsverband Metzingen

Vor Ort

EUR 60.000 - 80.000

Vollzeit

14 Tage+

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Zusammenfassung

Atlas Metrics is looking for a Content Platform & Toolchain Engineer to develop scalable content delivery platforms and optimize engineering workflows. Responsibilities include designing technical ecosystems, developing Docs-as-Code workflows, and ensuring the integration of structured content management systems. Ideal candidates should have experience with Git-based workflows, Python and C++ programming, as well as an understanding of automated publishing systems. Strong communication skills in English are required, and knowledge of German is a plus.

Qualifikationen

  • Experience with Git-based workflows, markup formats, automation, or CI/CD systems.
  • Familiarity with programming in Python, C++, or experience with ROS.
  • Interest in structured data (XML) or CCMS frameworks like Quanos Schema ST4.

Aufgaben

  • Design and drive the technical ecosystem for publishing engineering knowledge.
  • Develop and optimize Docs-as-Code style engineering workflows.
  • Create and operate automated pipelines using appropriate toolchains.

Kenntnisse

Git-based workflows
Python programming
C++ programming
Understanding of industrial communication protocols
Automation and CI/CD
Structured data handling

Tools

Sphinx
Doxygen
Breathe
Quanos Schema ST4

Jobbeschreibung

Content Platform & Toolchain Engineer (human)

Neura Robotics • Metzingen

Focus: Developing scalable content delivery platforms, multichannel publishing pipelines, and structured information systems that connect engineering data with digital customerfacing channels.

Your mission

Engineering Toolchains & Developer Workflows

  • You will design and drive the technical ecosystem that powers how teams create and publish engineering knowledge.

  • Develop, maintain, and optimize a DocsasCode–style engineering workflow, including Git, Markdown, reStructuredText, and CI/CD pipelines.

  • Create and operate automated pipelines using Sphinx, Doxygen, Breathe, or similar toolchains for components built in Python, C++, ROS, or industrial protocols (Modbus, Profinet, EtherNet/IP, EtherCAT).

  • Evolve and connect our structured content management system (Quanos Schema ST4) with modern developercentric workflows to build a streamlined, futureproof platform.

Platform Engineering for Content Delivery
  • You’ll take responsibility for the platforms and pipelines that distribute technical information across all channels.

  • Develop and modernize digital content delivery systems such as documentation portals, service/download platforms, and HTML/PDF output pipelines.

  • Build multichannel publishing strategies (HTML5, WebHelp, PDF).

  • Integrate publication pipelines with enterprise systems such as ERP and PLM for consistent, scalable delivery of engineering information.

Engineering Knowledge Modeling
  • You will ensure that technical information from robotics, software, and system engineering teams flows into structured, machinereadable formats.

  • Work with developers and robotics engineers to model APIs, interfaces, system architectures, or troubleshooting flows in a way that suits both humans and automated tooling.

  • Help teams structure their contributions for automation, reuse, searchability, and machinedriven publication.

What we can look forward to
  • Experience with Gitbased workflows, markup formats, automation, or DevOpsstyle CI/CD systems.

  • Familiarity with programming in Python, C++, experience with ROS, or industrial communication stacks (bonus).

  • Experience with Sphinx/Doxygen/Breathe or are ready to pick them up quickly.

  • Interest in structured data (XML) or CCMS frameworks like Quanos Schema ST4.

Platform and tooling affinity
  • Interest in building internal tools, integrations, and content delivery platforms.

  • Experience with automated publishing, web delivery pipelines, or multichannel output (HTML5, PDF, WebHelp).

How you work
  • You enjoy enabling other teams through systems, pipelines, and tooling.

  • You collaborate closely with mixed engineering teams (software, robotics, product).
    Strong communication skills (English required; German desirable).

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