Informacje o stanowisku
Join an AI-focused engineering team driving automation for the AI Factory – a modular, cloud-agnostic platform that empowers data scientists to launch complete project environments within hours. You’ll contribute to the backbone of the platform’s test and monitoring systems, ensuring quality and reliability across complex AI integrations.
What do we offer?
✔ Work with cutting-edge technologies in a dynamic team.
✔ Opportunities for professional growth and exciting projects.
✔ Flexible hours and remote work options.
✔ A friendly atmosphere and collaboration with experienced professionals.
- Proficiency in Python and Bash for automation.
- Experience with GitHub Actions and test pipeline integration.
- Understanding of Selenium or similar testing frameworks.
- Knowledge of Power BI and data visualization.
- Familiarity with Databricks, Kubernetes, and cloud platforms (Azure, GCP).
- Solid understanding of software testing principles (ISTQB certification is a plus).
Join an AI-focused engineering team driving automation for the AI Factory – a modular, cloud-agnostic platform that empowers data scientists to launch complete project environments within hours. You’ll contribute to the backbone of the platform’s test and monitoring systems, ensuring quality and reliability across complex AI integrations.
What do we offer?
✔ Work with cutting-edge technologies in a dynamic team.
✔ Opportunities for professional growth and exciting projects.
✔ Flexible hours and remote work options.
✔ A friendly atmosphere and collaboration with experienced professionals.
,[Automate integration testing for the AI Factory platform., Develop and maintain advanced automation and monitoring setups., Build telemetry processes for GitHub Actions and enrich them using the GitHub API., Create meaningful visual insights in Power BI and collaborate with the QA E2E Testing team to provide infrastructure and monitoring for test results., Model data schemas and implement structured data layers in Databricks., Participate in evolving the test pipeline for an AI-powered software development lifecycle. Requirements: Backend, Python, FastAPI, Azure, GCP, CI/CD, Selenium, Flask, Django Tools: Agile, Scrum. Additionally: Remote work, Sport subscription, Training budget, Private healthcare, Free coffee, Modern office, Bike parking, No dress code.
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