FullStack Engineer (36400)

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Celá ČR
6/2024 (9m+)
Kontrakt přes CP
100%
110 000 CZK
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Join a dynamic team as a FullStack Engineer. Collaborate with cross-functional teams to create top-tier web applications using diverse frameworks in Python, Typescript/JS. Convert design drafts and mockups into working UIs, work with RESTful APIs, participate in code reviews and thrive in an agile development environment. The ideal candidate should have a bachelor’s or master's degree in a related field and 2+ years of experience with React, Python and .NET/C#. Skills in CSS, JS, CI/CD, automated frontend testing, and TDD are needed. If you're eager to learn new tools and technologies, have strong communication skills, and can work effectively in an international team, this opportunity is for you. Don't hesitate and apply now.

🚀 Project
- collaborate with cross-functional teams to create high-quality web applications
- work with different frameworks in Python, Typescript/JS
- convert design drafts, mockups and textual descriptions into working UIs, applications
- write clear, maintainable, and testable code with a focus on good testing practices, including unit, integration, and end-to-end testing
- design and implement RESTful APIs
- ensure adherence to coding standards, best practices, and design patterns
- participate in code reviews
- work in an agile development environment

🎯 Skills
- bachelor's or master's degree in Computer Science or a related field (e.g. Mathematics, Physics, Engineering etc.)
- 2+ years of experience with React
- 2+ years of experience with Python and visualization frameworks (Panel, Dash or comparable)
2+ years of experience with .NET/C#
- CSS and JS
- CI/CD, automated frontend testing, TDD (Test driven development)
- willingness to learn new tools and technologies
- experience with testing frameworks and best practices (unit testing, integration testing, end-to-end testing)
- strong communication skills 
- ability to work in a cross-functional, international team

💡 Nice to have
- Python ecosystem (context of data science or data engineering)
- Data Science
- Azure
- setting up MLOps processes
- Terraform and Kubernetes
- ability to manage CI/CD pipelines and maintain good DevOps practices within the team
- event-driven architectures built with message brokers (RabbitMQ, NATS) or knowledge of how these systems work

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