SignageOS

Cloud / DevOps Engineer | AWS, GCP, Kubernetes

SignageOS Capital City of Prague, Prague, Czechia

IT Services and IT Consulting · 51-200 employees

21 h ago
kubernetes Senior (5-10 yrs) Full-time Czechia
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About the role

You will be responsible for the architecture, design, and automation of cloud infrastructure while managing production Kubernetes environments. Additionally, you will handle observability, platform engineering, and participate in a 24/7 L2 on-call rotation.

What they look for

AWS Google Cloud Platform Kubernetes Terraform Infrastructure as Code Automation TypeScript Node.js MongoDB CI/CD Observability FinOps Platform Engineering Distributed systems System design AI

Requirements

The role requires senior-level hands-on experience with AWS, GCP, and Kubernetes, along with strong skills in infrastructure as code and automation. Proficiency in TypeScript, Node.js, and MongoDB is considered a strong advantage.

Benefits

Reserved parking Quiet work zones Meeting rooms Chill-out area Fully stocked fridges Friday team lunches

Full description

200K+ connected devices. 60+ hardware platforms. 99.99% availability. One cloud platform.

signageOS powers digital signage for companies including McDonald’s, Starbucks and 7-Eleven, as well as airports, retail stores and office buildings worldwide.

This isn’t just another SaaS product built around CRUD. Our cloud platform connects to real-world devices across dozens of hardware platforms and operating systems. That brings real engineering challenges around distributed infrastructure, device communication, scalability, reliability and hardware fragmentation.

Go deep. Build what’s next.

We’re looking for a senior, hands-on Cloud / DevOps Engineer to join the team evolving our cloud infrastructure - from architecture and automation to production operations.

This isn’t a transition from traditional system administration. We expect proven experience with modern cloud engineering and DevOps practices from day one.

And yes - there’s a lot to get your hands on. Real scale, real technical challenges, and plenty of room to shape what comes next.

The technical bar

  • Senior-level hands-on experience with AWS, Google Cloud Platform and Kubernetes
  • Strong cloud infrastructure architecture and system design skills
  • Terraform / Infrastructure as Code
  • Proven modern Cloud / DevOps experience, with a strong focus on automation and practical use of AI
  • Experience with production operations, troubleshooting and L2 support
  • Previous development experience with TypeScript, Node.js and MongoDB is a strong advantage
  • Fluent Czech or Slovak + communicative English

What you’ll work on

  • Cloud infrastructure architecture, design and automation
  • Production Kubernetes environments, including scaling and platform automation
  • Databases and distributed infrastructure services
  • Platform Engineering, Kubernetes operators and internal tooling
  • CI/CD and pipelines
  • Observability, monitoring and production reliability
  • Cloud cost optimization / FinOps
  • Infrastructure tooling, with a welcome overlap into Developer Experience
  • AI-driven automation across DevOps and infrastructure workflows
  • Evaluation and adoption of new technologies where they solve a real problem
  • 24/7 L2 on-call rotation (approximately 1 week out of every 4)

Our stack

AWS • Google Cloud Platform • Kubernetes • Terraform • Redis • RabbitMQ + TypeScript • Node.js • MongoDB

Practical details

  • Prague 6 - Evropská 11 (Blox Offices)
  • Hybrid - minimum 3 days per week in the office, ideally more
  • Reserved parking in the building garage
  • A well-equipped office where everything’s taken care of - quiet work zones, meeting rooms, a chill-out area, fully stocked fridges, Friday team lunches, and more
  • Full-time employment or freelance
  • Start date by agreement

Interested?

Send us whatever best represents your work - your CV or LinkedIn, GitHub, personal projects, open-source contributions or technical writing.

We’re particularly interested in what you’ve designed, built and operated in production, the technical problems you’ve solved through automation, how you’re using AI in your engineering workflow, and what kinds of technical challenges genuinely excite you.

We’re looking forward to hearing from you!

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