QA - Agentic SDLC

Virtusa Middle East FZ-LLC; Dubai; On-site; AED 300,000 - 480,000; Full time

Job summary

Virtusa Middle East FZ-LLC is seeking an experienced QA Engineer to design and implement automated testing frameworks for agent-based systems, ensuring seamless SDLC integration.

You will develop test strategies for emergent agent behaviors, conduct performance and scalability testing, and collaborate with AI/ML engineers to debug complex agent logic.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software quality assurance, with a focus on complex systems or AI/ML products.
• Proven experience in developing and maintaining automated test scripts using Python, Java, or similar languages.
• Familiarity with agent-based modeling concepts and simulation environments.

Responsibilities

• Design and implement automated testing frameworks for agent-based systems ensuring seamless integration within the SDLC.
• Develop sophisticated test strategies that validate the emergent behaviors and complex interactions of autonomous agents.
• Conduct rigorous performance and scalability testing to guarantee agent systems operate reliably under high load conditions.
• Collaborate closely with AI ML engineers and developers to debug and resolve intricate issues within agent logic and decision-making processes.

Skills

Automation testing

Test strategy development

Performance testing

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

Java

Job description

Responsibilities

Design and implement automated testing frameworks for agent-based systems ensuring seamless integration within the SDLC.

Develop sophisticated test strategies that validate the emergent behaviors and complex interactions of autonomous agents.

Conduct rigorous performance and scalability testing to guarantee agent systems operate reliably under high load conditions.

Collaborate closely with AI ML engineers and developers to debug and resolve intricate issues within agent logic and decision-making processes.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5+ years of experience in software quality assurance, with a focus on complex systems or AI/ML products.

Proven experience in developing and maintaining automated test scripts using Python, Java, or similar languages.

Familiarity with agent-based modeling concepts and simulation environments.