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8 дней назад

Cloud Engineer (Robotics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Cloud Engineer (Robotics) (GitOps/AWS): Building and maintaining GitOps workflows, CI/CD pipelines, and infrastructure automation for autonomous industrial robotics with an accent on GitLab, Terraform, Kubernetes, and AWS. Focus on managing deployments across development, production, and edge environments, improving platform reliability, and automating distributed robot infrastructure.

Location: Munich, Germany; hybrid

Company

hirify.global develops autonomous industrial robotics by combining modular hardware, software, AI, and Robotics-as-a-Service solutions for factories.

What you will do

  • Build and maintain GitOps workflows using Git as the single source of truth for infrastructure and application deployments.
  • Manage promotion flows across development, production, and edge-device environments.
  • Write and maintain Terraform-based infrastructure for AWS through pull requests, reviews, and automated pipelines.
  • Build and improve GitLab CI/CD pipelines for testing, validation, and safe deployments.
  • Improve platform reliability through monitoring, alerting, dashboards, incident response, and post-mortems.
  • Automate operational work and support engineering teams with deployments, environment setup, and cost visibility.

Requirements

  • 3+ years of experience in Cloud, DevOps, Platform, or Infrastructure Engineering.
  • Hands-on experience with GitOps and CI/CD pipelines.
  • Experience with infrastructure as code, ideally Terraform, and AWS services including EKS, RDS, S3, and EC2.
  • Scripting or programming skills in Python, Go, or a similar language.
  • Basic Kubernetes knowledge, including deploying, operating, and troubleshooting workloads.
  • Experience with edge devices or distributed-system fleets, plus secrets tooling such as External Secrets, Sealed Secrets, or Vault.

Nice to have

  • Experience with MLOps and robot infrastructure.
  • Interest in deepening software security expertise.
  • Broader experience across cloud environments such as GCP and AWS.

Culture & Benefits

  • Work on modular, software-defined autonomous robotics and physical AI.
  • Responsibility from day one in a dynamic, fast-growing scale-up.
  • Flat hierarchies, open communication, and regular 360° feedback.
  • Flexible working hours, a modern office, and the option to work from home depending on the role.
  • Wellpass membership, regular team events, and team activities.

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