Acropolium

🚀 About the Role:
We are looking for a QA Engineer (Kafka & Playwright) to join our Enterprise Data Platform team. In this role, you will ensure the quality and reliability of high-scale data-driven applications, working on event-driven architectures, enterprise data services, and real-time data processing. You will collaborate with multiple product teams to drive efficient manual and automated testing for both backend and frontend components.

📍 Location:
Remote / Hybrid

🎯 Job Description:
As a QA Engineer, you will develop and execute test plans, scenarios, and automation suites to ensure the reliability of complex enterprise applications. Your focus will be on Kafka-based systems, cloud solutions, and end-to-end test automation.

💪 Key Responsibilities:

🔹 Testing & Automation:
✔ Develop and maintain automated test suites for backend (Kafka, Java Spring Boot) and frontend (Playwright).
✔ Perform manual and automated testing across the software development lifecycle.
✔ Execute functional, integration, system, UAT, performance, load, and E2E testing.

🔹 Data & API Testing:
✔ Prepare and manage test data for various use cases.
✔ Conduct API testing using Postman or similar tools.
✔ Perform non-relational database testing.

🔹 Collaboration & CI/CD:
✔ Work closely with developers, DevOps engineers, and product teams to optimize test coverage.
✔ Ensure smooth CI/CD integration and support cloud deployments (Azure).
✔ Provide detailed bug reports and contribute to improving QA processes.

📚 Required Skills:

🔹 Must-have:
✔ Kafka – Ability to read and analyze Kafka code.
✔ Playwright – Experience with test automation.
✔ Manual & automated testing – Strong background in both approaches.

🔹 Technical Expertise:
✔ Experience with Java Spring Boot applications.
✔ Knowledge of JavaScript/TypeScript.
✔ Familiarity with Git for version control.
✔ Hands-on experience with JMeter for performance and load testing.
✔ API testing experience with Postman or similar tools.
✔ Understanding of CI/CD pipelines and cloud platforms (Azure).
✔ Experience working in Agile environments.

🛠 Assets (Preferred Skills):
✔ Experience with non-relational database testing.
✔ Java Spring Boot development skills.

🥳 We Offer:
✅ Cutting-edge enterprise-level projects.
✅ Flexible remote/hybrid work options.
✅ Transparent decision-making and quick feedback.
✅ Growth opportunities in a modern tech stack environment.

⏰ Start Date:
ASAP

🔗 Hiring Process:
1️⃣ Recruitment interview + English check.
2️⃣ Technical introduction call.
3️⃣ (Optional) Interview with the Project Manager.
4️⃣ Technical interview/meeting with the development team.
5️⃣ Offer (process typically takes 4-5 business days).

🚀 About the Role:
We are looking for a skilled AI Tester to join our team. In this role, you will develop and execute test plans for AI and machine learning models, ensuring their seamless integration into software applications on Microsoft Azure. You will collaborate with full-stack teams, perform both manual and automated tests, and ensure AI functionality, performance, and accuracy.

📍 Location:
Hybrid – Once a week on-site in Prague or Vienna

🎯 Job Description:
As an AI Tester, you will be responsible for validating AI/ML models, troubleshooting system integration issues, and managing test scenarios. You will work in a cross-functional environment, ensuring the reliability and accuracy of AI-driven applications.

💪 Key Responsibilities:

🔹 Testing & Validation:
✔ Develop and execute test plans, scenarios, and scripts for AI/ML models.
✔ Perform manual and automated tests to verify AI functionality, performance, and accuracy.
✔ Conduct regression testing to prevent issues after updates.

🔹 Collaboration & Integration:
✔ Work closely with full-stack developers to ensure smooth AI integration into applications.
✔ Validate AI models deployed on Microsoft Azure.
✔ Troubleshoot AI functionality, system integration, and UI/UX issues.

🔹 Process & Tools:
✔ Analyze test results and provide detailed feedback to development teams.
✔ Manage test scenarios, stories, tasks, and execution using Jira.
✔ Perform API integration testing using tools like Postman.

📚 Required Skills:

🔹 Technical Expertise:
✔ Strong knowledge of Node.js and JavaScript (additional programming languages are a plus).
✔ Experience with software testing tools and methods, especially for AI and cloud solutions.
✔ Hands-on experience with automation testing frameworks and manual testing.
✔ Familiarity with Microsoft Azure or other cloud platforms.

🛠 Assets (Preferred Skills):
✔ Experience testing AI-integrated software solutions.
✔ Knowledge of Jira and test management best practices.

🥳 We Offer:
✅ Exciting projects with AI-driven applications.
✅ Flexible hybrid work model.
✅ Professional growth opportunities.
✅ Transparent decision-making and quick feedback.

⏰ Start Date:
April 2025

🔗 Hiring Process:
1️⃣ Recruitment interview + English check.
2️⃣ Technical introduction call.
3️⃣ (Optional) Interview with the Project Manager.
4️⃣ Technical interview/meeting with the development team.
5️⃣ Offer (process typically takes 4-5 business days).

🚀 About the Role:
We are looking for a highly skilled Python DevOps Engineer to join our team. In this role, you will ensure the seamless operation, development, and integration of our Asset Master Data system, a key application in the client's data ecosystem. You will work on backend (Django), frontend (React or similar), DevOps, and Data Engineering, supporting the transition to a Databricks-first approach while maintaining a high-performance, user-friendly system.

📍 Location:
Remote from the EU

🎯 Job Description:
As a Python DevOps Engineer, you will support the development, operation, and continuous improvement of our Django-based Asset Master Data system. You will optimize APIs, maintain the UI, implement DevOps solutions, and collaborate with cross-functional teams to align the system with our Data Strategy.

💪 Key Responsibilities:

🔹 Development & Optimization:
✔ Support full product lifecycle development of the Django-based Asset Master Data system (backend & frontend).
✔ Maintain and enhance the UI (React or other frontend framework) to ensure a smooth user experience.
✔ Optimize and maintain APIs critical for multiple processes within RWE Renewables.

🔹 DevOps & Infrastructure:
✔ Implement CI/CD pipelines, automation, and monitoring to improve system stability and deployment efficiency.
✔ Work with Azure DevOps, containerization (Docker, Kubernetes), and infrastructure automation tools.

🔹 Data Engineering & Integration:
✔ Support Databricks integration, aligning the system with the Data Strategy and future accessibility needs.
✔ Work with PySpark and data pipelines to ensure seamless data engineering workflows.

🔹 Cross-Functional Collaboration:
✔ Collaborate with data engineers, developers, and DevOps specialists in a multifunctional Agile squad.
✔ Troubleshoot complex issues and contribute to a robust, scalable, and efficient product.

📚 Required Skills:

🔹 Technical Expertise:
✔ Strong experience with Python & Django (backend development, API optimization, security).
✔ Frontend development skills, maintaining UI components interacting with Django.
✔ DevOps knowledge, including CI/CD, Docker, Kubernetes, Azure DevOps, and infrastructure automation.
✔ Experience with Databricks, PySpark, and data pipeline development.
✔ Cloud experience with Azure, focusing on deployment and scalability.

🔹 Soft Skills:
✔ Strong analytical thinking and problem-solving skills.
✔ Effective communication and collaboration in cross-functional teams.
✔ Fluent English (B2+).

🛠 Assets (Preferred Skills):
✔ Experience in Energy industry projects.
✔ German language proficiency (optional).

🥳 We Offer:
✅ Exciting projects in the energy sector.
✅ Flexible remote work arrangements.
✅ Professional growth opportunities.
✅ Transparent decision-making and quick feedback.

⏰ Start Date:
ASAP

🔗 Hiring Process:
1️⃣ Recruitment interview + English check.
2️⃣ Technical introduction call.
3️⃣ (Optional) Interview with the Project Manager.
4️⃣ Technical interview/meeting with the development team.
5️⃣ Offer (process typically takes 4-5 business days).