At Cloudfield, we understand that the true potential of our company lies in the uniqueness of our employees. We believe that flexibility and the ability to quickly adapt to new challenges are key to success in the constantly evolving world of cloud technologies. If we want to grow, it is necessary to step out of the routine, take risks, and learn from mistakes. You won’t find a traditional corporate structure with fixed roles here.
We offer an environment where everyone can develop their skills while working on exciting innovations and projects. Here, you will find a culture that encourages independent work and personal responsibility, while also valuing a friendly approach and mutual support. We are a team of enthusiasts who are not afraid to take on challenges and together seek the best solutions for our clients and products.
Join us and be part of a story where your growth and development are a priority. At Cloudfield, a journey full of learning, discoveries, and opportunities to apply your skills in the real world awaits you.
Our culture:
Freedom: Your work, your way. Work from anywhere, anytime. The office is an option, not a requirement. Work should be a source of income as well as joy and satisfaction.
Honesty: If something is not feasible, we will say so. Our projects must be meaningful and we always stand by the quality of our work.
Support: Although we support independence and freedom in decision-making, you are never alone. You have the support of a team that is always ready to help and share knowledge.
Growth: Education and personal development are our top priorities. We look for ways to do things better and are not afraid to embrace new ideas and approaches. Find a topic that interests you and we will support you and help with certifications.
Your job:
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Cloud solutions
- Developing solutions and applications on major cloud platforms such as Azure, AWS, and GCP.
- Ability to identify and recommend key cloud services, optimize cloud infrastructure for maximum efficiency, and design solutions that advance our projects and customers.
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AI and Machine Learning
- Working on solutions utilizing AI, machine learning, and language models that enable our customers to move forward.
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Development
- Developing and containerizing applications using popular programming languages (Python, Java, Kotlin, C#, C++, Rust, Go, JavaScript) and deploying them in Kubernetes.
- Designing and implementing automation processes for infrastructure management and application deployment, focusing on Infrastructure as Code and CI/CD.
- Developing and designing data-oriented applications and data warehouses to support a data-driven organizational model.
Flexibility, Collaboration, and Sharing
In a dynamic technological environment, your ability to effectively respond to changing conditions is crucial. We expect you to take responsibility for your tasks, actively approach challenges, and constantly look for ways to improve processes.
During brainstorming and project planning, we value your ideas and experience. Don’t worry, sharing here does not take place on a stage but in the spirit of open and informal exchange.
Technologies We Work With:
Here is an overview of the technologies you will encounter with us and with which you should have at least basic experience. You don’t need to be an expert in everything, but we value your desire to learn and your ability to adapt to new tools and processes.
- Cloud Architecture and Platforms: Designing cloud architecture and platforms such as Azure, AWS, GCP, or other customer target environments
- Programming and Development: Programming languages such as Java, JavaScript, PHP, Python, C/C++, C#, Rust, Go, etc.
- Databases: PostgreSQL, MSSQL, MySQL, MariaDB, MongoDB, Cassandra, Oracle
- Versioning: Working with Git, JIRA, and other tools for code versioning and development processes is common here.
- Infrastructure Automation (IaaC): Tools like Terraform, Pulumi, Biceps, ARM, Ansible
- CI/CD pipeline: Jenkins, TeamCity, Azure DevOps, and practices for continuous integration and deployment
- Data Warehouse: T-SQL or PL/pgSQL, design of data warehouses and supporting systems (ETL, ODS, DWH)
- Vizualization: Power BI or Tableau
- Data Science and AI: If you have a foundation in machine learning and AI, you will find space here for further development of these skills. You will encounter LLM (OpenAI, Anthropic Claude, Mistral, AWS Bedrock, Gemini) and Machine Learning models based on Tensorflow and similar.
Locations: Prague, České Budějovice, Hradec Králové, Plzeň, Olomouc, Home Office