Senior Backend & Systems Engineer

Cartken

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+

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Zusammenfassung

Cartken is seeking a backend/DevOps-focused engineer in Munich to own the systems that manage, configure, update, and monitor a fleet of autonomous robots. You will design, implement, and validate the next generation of fleet update and job execution platforms, while developing backend services for operational workflows, scheduling, and configuration management.

Collaborating with robotics and operations teams, you will tackle core topics such as APIs, service-to-service communication, data

Qualifikationen

  • 5+ years of relevant work experience in backend/DevOps roles.
  • Ownership of large-scale systems and fleet/platform updates.
  • Experience with distributed systems and Linux-based environments.

Aufgaben

  • Own the systems managing, configuring, updating and monitoring our robot fleet.
  • Develop backend services and internal tools for operational workflows and job scheduling.
  • Work on APIs, service-to-service communication, data modeling and observability.

Kenntnisse

Backend engineering
DevOps
Distributed systems
Linux
Containers
Security & Observability
Go
NodeJS

Tools

Docker
CI/CD
GCP
NATS
MongoDB
Postgres
AWX

Jobbeschreibung

Who we are

Cartken is a startup at the forefront of autonomous robotics and short-distance material transport. Our team has more than a century of combined experience solving some of the toughest challenges in autonomous vehicles, robotics, and operations at Google, Amazon, Apple, and Facebook. We have robots operating around the world providing reliable and cost-effective short-distance material transport for our industrial customers.

The AI powering our robots makes them the safest and most reliable in the market today.Our robots are equipped with multiple sensors and cameras which allow them to stop on a dime in order to avoid collisions and choose routes which have the fewest hazards.

You can read more about Cartken here.

Our mission

We streamline short-distance material transport through cost-efficient and flexible autonomous robotics.

Why join us
  • We’re passionate about applying state-of-the-art technology to solve real-world problems and become the brains behind an automation revolution

  • We’re fast and thrive on making an impact

  • You get to work with a diverse team of super talented people across USA and Germany

  • You’ll also get to build a growing startup and by default do and learn a tonne

What you'll do
  • 5+ years of relevant work experience.
  • Own the systems managing, configuring, updating and monitoring our robot fleet.
  • Help design, implement and validate the next generation of our fleet update and job execution platform.
  • Develop backend services and internal tools for operational workflows, job scheduling, configuration management, and fleet maintenance.
  • Work on core backend topics such as APIs, service-to-service communication, data modeling, security, reliability, and observability.
  • Work on infrastructure topics such as NATS, GCP, Docker, CI/CD pipelines, deployment automation, and observability.
  • Collaborate closely with robotics and operations teams to turn real-world field & customer requirements into robust technical solutions.
What you bring
  • Strong backend, systems, or DevOps engineering experience.
  • Excellent problem-solving skills and the ability to work independently on broad, sometimes ambiguous technical challenges.
  • You enjoy ownership of large systems and push them forward independently
  • Experience with distributed systems, Linux-based environments, networking, containers, or infrastructure automation.
  • A pragmatic engineering mindset: you care about robustness, reliability, maintainability, and getting useful systems into production.
  • Experience in the IoT/Robotics space is a plus
  • Bonus: experience with robotics, fleet management, NATS, MongoDB, Postgres, GCP, CI/CD infrastructure, AWX, Docker, Go, NodeJS or Python.
  • You are based in or around Munich and can work on-site (with option for partial home office)
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