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HybridListed Jun 30, 2026

Cloud Solution Engineer

GoodData

  • Engineering

Assessed from original listing evidence

The role

Job description

[link removed] is looking for a Cloud Solution Engineer to join our Infrastructure Team. We are located in Brno and Prague.

Our Team

Are you passionate about Kubernetes, cloud technologies, and solving real-world challenges? We are looking for a Cloud Solution Engineer to join our Infrastructure team, where you’ll work hands-on with clouds like AWS, Azure, and Kubernetes, collaborating closely with our Professional Services department. In this role, you’ll focus on designing, deploying, and optimizing our cloud-native platform and supporting complex environment configurations. If you thrive in a dynamic environment where innovation meets engineering excellence, this is the opportunity for you!

What will you do?

  • Support the integration – Support the integration, installation, and operation of our cloud-native platform within their existing ecosystems, ensuring smooth deployments.

  • Contribute to the Evolution – Contribute to the evolution of our platform by improving Helm charts, Terraform providers, observability dashboards, and documentation.

  • Assist in SaaS Development – Collaborate with our infrastructure teams to evolve our SaaS platform, and assist in designing and implementing solutions on AWS, Azure, and our Terraform ecosystem.

  • Advance Kubernetes Operations – Improve and optimize our Kubernetes infrastructure and ecosystem, built on top of various CNCF projects, Flux GitOps, and GitHub Actions, ensuring efficient and automated operations.

  • Leverage Observability – Utilize our Grafana, Loki, Mimir, and Tempo observability stack to gain deep insights into our cloud-native platform, helping both our team and our customers unlock its full potential.

  • Leverage AI-powered tools and assistants – Leverage AI-powered tools and assistants daily to accelerate infrastructure operations, automate routine tasks, and streamline coding and troubleshooting.

About you

  • Experienced at Kubernetes and cloud ecosystems (AWS, Azure), with a drive to deepen expertise in networking, security, and automation.

  • A proactive learner with a problem-solving mindset, eager to tackle technical challenges and optimize cloud-native environments while growing with the team.

  • Effective communicator capable of explaining technical concepts related to cloud ecosystems and Kubernetes to support customer success during implementations.

  • A team player with a proactive approach, Collaborate proactively with solution architects and engineers to ensure smooth integrations and drive impactful results.

  • A strong advocate for AI-augmented engineering, comfortable integrating AI tools into your daily workflow to maximize efficiency and problem-solving.

It is nice if you have

  • Experience with observability tools like Grafana, Loki, Mimir, and Tempo to monitor, troubleshoot, and improve cloud-native systems.

  • A strong Infrastructure as Code background, comfortable working with Terraform, Helm, and GitOps tools for reproducible and scalable infrastructure.

  • The ability to write technical articles, blog posts, and case studies, sharing insights and best practices with the broader community.

  • 2+ years of experience operating production environments in the cloud or Kubernetes, focusing on reliability and scalability.

  • Experience with AI-integrated development workflows or building/using AI agents to enhance productivity.

About [link removed]

At [link removed], we’re building the future of agentic AI for data intelligence.

Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With [link removed], organizations don’t just analyze data, they monetize it.

But what really sets [link removed] apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.

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