Senior QA Automation Engineer - Python & AI for Banking

Luxoft; Kraków; Híbrido; PLN 180.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote recruitment process

Stable employment using an employment契

MyBenefit program

Employee assistance program

LuxTalent platform

Internal Mobility program

Descripción de la vacante

Luxoft is seeking a Senior QA Engineer to join our team in a leading banking environment in Kraków. You will validate Azure Databricks data platforms, develop automated tests using Python, and build robust test frameworks.

You will leverage Agentic AI capabilities to enhance test design and execution, perform regression and database testing, and promote quality engineering practices across data analytics solutions. Hybrid work option: 3 days in the office.

Formación

• 8+ years in QA/Test Engineering.
• 5+ years of hands-on experience with Python.
• Experience in Agentic AI / AI-driven testing solutions, including leveraging AI agents to improve testing, quality assurance, and delivery processes.
• Strong automation experience using Robot Framework.
• Banking / Financial Services domain knowledge.

Responsabilidades

• Validate and test Azure Databricks-based data platforms and pipelines.
• Develop and maintain automated test frameworks using Python and Robot Framework.
• Leverage AI and Agentic AI capabilities to improve test design, test execution, evidence review, defect analysis, and quality engineering practices.
• Perform functional, integration, regression, and database testing.
• Drive quality engineering best practices across data and analytics solutions.

Conocimientos

QA Engineering

Python

Agentic AI testing

Banking domain

Herramientas

Robot Framework

Descripción del empleo

Luxoft is seeking a Senior QA Engineer to join our team in a leading banking environment in Kraków. You will validate Azure Databricks data platforms, develop automated tests using Python, and build robust test frameworks.

You will leverage Agentic AI capabilities to enhance test design and execution, perform regression and database testing, and promote quality engineering practices across data analytics solutions. Hybrid work option: 3 days in the office.