23371 - Automation Engineer - Python

QualityAI is the leading AI-first quality engineering company. We deliver end-to-end quality management services across the business and technology life cycle for enterprise customers who need certainty at Go-Live. 

 We build and test services and products using AI, working across data, models, platforms, devices, and infrastructure to ensure those systems perform as expected at scale 

We are looking for a motivated Automation Engineer to join our team in the finance industry.

In this role, you will develop and maintain Python-based automation solutions, support database validation, enhance existing automation scripts, and contribute to API testing.

You will work closely with experienced engineers, contribute to automation frameworks, and play a key role in expanding test coverage while continuing to grow your technical expertise.

Responsibilities:

• Develop Python automation scripts for database testing and validation.
• Write and execute SQL queries to verify data integrity.
• Maintain and enhance existing Python automation scripts.
• Execute automated test suites and analyze test results.
• Investigate test failures and report defects.
• Assist with API testing to validate end-to-end data flow.
• Work within existing automation frameworks while following coding standards and best practices.

Requirements:

• Up to 2 years of experience in Software Development, Automation, or QA (or relevant academic/project experience).
• Understanding of Basic programming concepts (loops, conditions, functions)Relational databasesJSON structureWeb applications and HTTP requests
• Familiarity with SQL queries.Git version control.SDET conceptsAgile methodologies.
• Advantages:
• Experience with Python testing frameworks (e.g., pytest).Familiarity with database libraries or ORMs (e.g., SQLAlchemy, psycopg2).
• Experience with REST API testing tools (e.g., Postman, requests).
• Strong motivation to learn and develop professionally.
• Analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent technical training.