Observability Engineer (d/w/m)

Zürich,  Schweiz
40% RemoteFreiberuflichab sofortDauer 6 Monate100% Auslastung120,00 CHF Budget

Beschreibung

Project Details
  • Start Date: ASAP
  • Duration: Initial 6-month contract with potential extension
  • Location: Zurich, Switzerland
  • Work Model: Hybrid
  • Project Language: English

Responsibilities
  • Build and operate the end-to-end telemetry pipeline from on-device systems to the cloud, ensuring reliable ingestion of logs and metrics from every robot into the observability stack (Vector, Prometheus, Grafana, Loki, Foxglove).
  • Structure and optimise robot logs to enable efficient searchability and analysis within Grafana.
  • Develop custom metric exporters to provide engineering teams with the observability data they need most.
  • Implement on-demand access to recorded robot data (MCAP) across the fleet.
  • Deploy and scale solutions across the entire fleet using Yocto images, OTA updates, Ansible, and NixOS.

Required Skills & Experience
  • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Infrastructure Engineering.
  • Strong hands-on experience with Prometheus, Grafana, and Loki in production environments, supported by log and metric shippers such as Vector, Fluent Bit, or Promtail.
  • Proven experience building Grafana dashboards that provide rapid access to critical operational and engineering insights.
  • Demonstrated success designing and operating scalable logging and metrics pipelines across large fleets of devices.
  • Experience with fleet management, device observability, and monitoring at scale.
  • Experience operating observability platforms connected to managed cloud environments, preferably Azure.
  • Strong programming skills in Python and C++.
  • Solid Linux systems expertise, including systemd/journald, networking, and performance troubleshooting.
  • Ability to quickly understand new environments and deliver independently within a defined scope.

Nice to Have
  • Experience deploying and operating robotic or embedded systems in production at scale.
  • Hands-on experience with ROS 2 and robotics data tools such as Foxglove and MCAP.
  • Knowledge of Embedded Linux platforms, including Yocto and NVIDIA Jetson.
  • Experience with OTA update solutions such as Mender.
  • Familiarity with Infrastructure as Code and fleet configuration management tools, including Ansible, Terraform/OpenTofu, Nix/NixOS, and Kubernetes.

If this project is of interest to you, I would be delighted to hear back from you with your latest CV and a brief summary of your relevant experience. I would also be happy to arrange a call to discuss the project and answer any questions you may have.


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