Senior Cloud Solution Engineer

Sorry, this job was removed at 06:54 p.m. (CST) on Tuesday, May 06, 2025
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Brno, Brno-město, Jihomoravský kraj
In-Office
Software • Analytics
The Role

GoodData is looking for a Senior 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 team, where you'll work hands-on with clouds like AWS, Azure, with Kubernetes, helping customers design, deploy, and integrate our cloud-native platform into their ecosystems. In this role, you won’t just be managing infrastructure—you’ll be a trusted advisor, collaborating with customers to tackle complex deployments, optimize their environments, and ensure seamless integrations. If you thrive in a dynamic environment where innovation meets customer success, this is the opportunity for you!

What will you do?

  • Empower customers – Architect, integrate, install, and operate our cloud-native platform within their existing ecosystems, ensuring smooth deployments and seamless integrations.

  • Enhance the Ecosystem – Continuously evolve our platform by improving Helm charts, Terraform providers, observability dashboards, and documentation to make it even better for our customers.

  • Strengthen Our SaaS Offering – Collaborate with our infrastructure teams to evolve our SaaS platform, designing and implementing solutions on AWS, Azure, and our Terraform ecosystem around.

  • 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.

About you

  • Strong knowledge of Kubernetes and cloud ecosystems (AWS, Azure), including deployments, networking, security, and automation.

  • A problem-solver with an innovator mindset, passionate about tackling complex technical challenges, optimizing cloud-native environments, and continuously improving solutions.

  • Able to communicate complex technical concepts around cloud ecosystems (AWS, Azure), Kubernetes, deployments, and integrations in a clear and actionable way, supporting customers through successful implementations.

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

  • A proactive team player who collaborates closely with solution architects, sales engineers, and customer engineering teams to ensure smooth integrations and deliver impactful results.

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.

  • 3+ years of experience designing and operating 24x7 production environments in the cloud or Kubernetes, ensuring reliability, scalability, and security.

About GoodData

GoodData powers modern BI for the modern data stack.

GoodData is a cloud-based analytics platform. Employees, customers, and business partners will understand the data in the same way thanks to GoodData’s robust end-to-end pipeline; self-service analytics; low-code/no-code interfaces; embeddable data visualization; application integration; and more.

#LI-Hybrid

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The Company
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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