Jobs / Erhard Mönnink GmbH & Co. KG

Staff DevOps Engineering (w/m/d) Build & AI-Ops

Erhard Mönnink GmbH & Co. KG · Berlin-Friedrichshain, BE, Deutschland
Berlin-Friedrichshain, BE, DeutschlandHybrid
Remuneration
Not specified
Location
Berlin-Friedrichshain, BE, Deutschland
Visa sponsorship
Not specified

Job summary

As a Staff DevOps Engineer, you will be the architect for Developer Velocity, aiming to eliminate friction in the engineering lifecycle and ensure complex, multilingual projects feel lightweight and responsive. You will be responsible for the "AI-Ops" infrastructure, enabling specialists and staff engineers to work at triple speed.

Qualifications

  • Strong knowledge of Docker, GitHub Actions/Jenkins, and Makefile/CMake environments.
  • Expertise in Python, Go, or Rust for building high-performance internal automation tools.
  • Profound experience with modern web toolchains (Vite, Webpack, esbuild) and optimizing large JavaScript monorepos.
  • Experience with vector databases or self-hosting LLMs (Ollama/LocalAI) is a significant advantage.
  • Act as the team's "Prompt Architect" for infrastructure, using models like Claude Opus 4.6 Max and specialized DevOps agents to automate routine operational tasks.
  • Focus human intelligence on systemic optimizations and creating a seamless flow state for the development team.
  • Experience in AAA game build engineering is highly valued.
  • Experience managing automated pipelines for complex, cross-platform assets and codebases where build time and asset cooking are key performance indicators.

Responsibilities

  • Design and operate a 5-minute onboarding workflow using Docker and DevContainers.
  • Ensure that "runs on my machine" is a reality for every new colleague.
  • Operate the team's local AI infrastructure, including Retrieval-Augmented-Generation (RAG) clusters, Cursor Skill Libraries, and custom documentation indexing for LLMs.
  • Automate and optimize the complex compile and hot-reload cycle between OnlyOffice C++ core and Node.js/JavaScript frontend.
  • Develop intelligent CI/CD pipelines that analyze logs with AI and suggest or apply patches for fragile legacy build steps.
  • Implement continuous profiling in the build chain to detect 16-ms frame budget violations before code enters a pull request.

Skills

CMakeC++DockerGitHubGitHub ActionsGoJavaScriptJenkinsMakeNode.jsPythonRust

Languages

PythonGoRust

Relocation

No