Senior QA Engineer - AI/Python for Industrial Platforms

GlobalLogic; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Relocation options

Learning & Development support

Inclusive culture

Job summary

GlobalLogic is seeking a Mid QA Engineer to join our team in Kraków, focusing on manual validation, exploratory testing, and defect reporting for an AI-enabled maintenance platform. You’ll validate features, design structured test plans, and contribute toward automation over time.

You will work in a fast-paced, technically complex environment, leveraging Python scripting, API testing, and SQL verification to ensure data integrity and system reliability.

Qualifications

• 4+ years of Software Quality Assurance experience, including back-end or AI/ML-driven apps.
• Proficient in Python-based automation and scripting.
• Strong API testing, data persistence validation, and SQL querying.

Responsibilities

• Manual test execution against the live QA environment following established steps and expected results.
• Design test cases with clear steps, edge cases and negative scenarios.
• UI testing of the web application (Dashboard, Planning Hub, Admin, Schedule, Inventory).
• Perform exploratory testing to identify edge cases and integration defects across the multi-agent platform.
• Create detailed, reproducible Jira bugs with steps, screenshots, severity and expected vs actual behavior.
• Verify backend state via SQL queries and validate data persistence.

Skills

Python

API testing

SQL

Test planning

English (B2+)

Tools

Jira

Postman

Docker/Kubernetes

Job description

GlobalLogic is seeking a Mid QA Engineer to join our team in Kraków, focusing on manual validation, exploratory testing, and defect reporting for an AI-enabled maintenance platform. You’ll validate features, design structured test plans, and contribute toward automation over time.

You will work in a fast-paced, technically complex environment, leveraging Python scripting, API testing, and SQL verification to ensure data integrity and system reliability.