Cloud Solution Engineer

Posted 10 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Junior
Software • Analytics
The Role
Support integration, installation, and operation of a cloud-native platform on AWS/Azure and Kubernetes. Improve Helm charts, Terraform providers, GitOps, observability dashboards and docs. Collaborate on SaaS infrastructure, optimize Kubernetes operations using CNCF projects, Flux, and GitHub Actions, and leverage Grafana/Loki/Mimir/Tempo and AI tools to automate and troubleshoot deployments.
Summary Generated by Built In

GoodData.AI 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 GoodData.AI

At GoodData.AI, 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 GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI 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.

#LI-Hybrid

Skills Required

  • Experience with Kubernetes
  • Experience with cloud ecosystems (AWS, Azure)
  • Ability to explain cloud and Kubernetes concepts to customers (effective communicator)
  • Proactive learner and problem-solving mindset
  • Team collaboration with solution architects, sales engineers, and customer engineering
  • Advocate for AI-augmented engineering and comfortable integrating AI tools
  • Experience with observability tools (Grafana, Loki, Mimir, Tempo)
  • Infrastructure as Code experience (Terraform, Helm, GitOps)
  • Ability to write technical articles, blog posts, and case studies
  • 2+ years operating production environments in cloud or Kubernetes
  • Experience with AI-integrated development workflows or AI agents
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
341 Employees
Year Founded: 2007

What We Do

At GoodData, we help companies turn data into insights. Our leading composable data and analytics platform gives our customers the flexibility to build and scale any of their data use cases — from self-service and embeddable analytics, to machine learning and IoT — all while maintaining the performance, cost-efficiency, and easy change management of a central and integrated solution.

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