📍Prague I Brno
🕰 Part-Time I Full-Time
Are you passionate about building robust, scalable cloud infrastructure that powers the next generation of data-driven applications? Do you thrive on automating everything through code and ensuring seamless delivery pipelines? We are looking for a Cloud Platform Engineer who bridges the gap between infrastructure and data engineering. If you have an ownership mindset, love solving complex platform puzzles, and want to work in a high-impact, cloud-native environment, we’d love to meet you.
What You’ll Do
As a Cloud Platform Engineer at DataSentics, you will be the backbone of our technical delivery, ensuring our data and AI solutions run on world-class infrastructure. You will work closely with data engineers and scientists to build stable, secure, and automated environments. Your core responsibilities will include:
- Architecting the Foundation: Design and implement cloud infrastructure (primarily AWS/Azure) using Infrastructure as Code (Terraform).
- Automating Delivery: Build and maintain robust CI/CD pipelines (GitLab/GitHub) to ensure frequent and reliable deployments.
- Platform Enablement: Own and solve platform-related topics around Databricks, including Unity Catalog integration, permissions, and service principal management.
- Containerization: Manage and orchestrate services using Docker and Kubernetes (or Azure Container Apps) to host internal data applications.
- Data Ops & Security: Set up monitoring, logging, and alerting systems while ensuring top-tier security through managed identities, secrets management, and access control.
Why Join Us?
At DataSentics, we are a team of tech enthusiasts who believe that great data science is only possible with great engineering. We combine deep technical expertise with a practical, product-driven approach. You’ll be part of a culture that values technical excellence, continuous learning, and the freedom to suggest and implement the best tools for the job.
Our Projects & Technology Stack
We build enterprise-grade data platforms and internal applications across industries like finance, retail, and manufacturing.
- Cloud Ecosystems: Deep dives into AWS and Azure.
- Data Orchestration: Advanced environments involving Databricks job clusters, complex pipelines, and automated permissions.
- Modern DevOps: Heavy use of Terraform, Docker, and Git-based automation.
- How we work: Agile teams (2–5 people), remote-first culture, and a focus on "building it right" the first time.
- Flexibility: Work from anywhere with optional offices in Prague and Brno; flexible roles starting at 30 hours/week.
What We’re Looking For
Must-haves:
- Cloud Proficiency: Experience with cloud platforms, ideally AWS/Azure.
- Automation Expert: Proven track record with CI/CD (GitLab/GitHub pipelines) and Terraform.
- Container Skills: Hands-on experience with Docker (Kubernetes or Azure Container Apps is a plus).
- Platform Troubleshooting: Ability to solve complex integrations involving Databricks and data applications.
- Mindset: A strong sense of ownership, independence, and the "investigative" skills needed to fix broken systems.
Nice-to-haves:
- Familiarity with Databricks administration (Unity Catalog, permissions, service principals).
- Basic to intermediate Python skills for automation and scripting.
- Understanding of Data Engineering lifecycles (pipelines, orchestration, storage).
- Experience with cloud security (Secrets, IAM) and monitoring/alerting tools.
What You’ll Get
- The opportunity to shape the infrastructure of cutting-edge AI and Data products.
- A collaborative environment focused on innovation and technical excellence.
- Flexibility, remote work options, and a supportive, curious team culture.
Curious to know more? If you're excited about infrastructure as code and want to empower data teams to build amazing things, let’s talk!
