Tech Stack

Description

You will lead testing activities for clients, including automation, performance, and AI testing. You'll design test strategies, mentor junior team members, and ensure high-quality delivery across functional and system components.

Requirements

• Bachelor's degree in computer science or closely related discipline
• Solid experience in QA methodologies, test planning, automation, and quality engineering practices
• Strong proficiency in automation tools such as Selenium, Playwright, or equivalent frameworks
• Solid programming skills in Python, C#, Java, or similar languages
• Hands-on experience testing data pipelines, ETL workflows, and analytics platforms (Databricks, Fabric preferred)
• Understanding of machine learning principles, model evaluation metrics and AI system behavior
• Ability to test LLM behavior, prompts, and AI model outputs
• Excellent analytical, problem-solving, communication, and presentation skills
• Demonstrated ability to work cross-functionally and influence engineering teams
• Experience with cloud platforms, especially Azure, is preferred

Responsibilities

• Apply knowledge of Quality Engineering and testing areas (Automation, Performance, Data quality, AI, White box, Blackbox) to define and advise in test planning
• Drive high-quality delivery by performing both manual and automated testing, ensuring full coverage across functional, system, data, and AI components
• Assist or lead the design and implementation of comprehensive test strategies, quality processes, and documentation for assigned project
• Maintain accurate record results, test cases, and share feedback to the project team
• Ensure all QE deliverables meet quality standards
• Actively assist or lead defect triage process
• Develop and validate test data, data pipelines, and infrastructure from both functional and system perspectives
• Evaluate and test machine learning models, including LLM behavior, prompt robustness, model outputs, and performance metrics
• Mentor junior team members, promote QE best practices, and contribute to continuous improvement initiatives