QA Engineer: AI-Driven Testing & Performance

Capgemini; Los Angeles (CA); On-site; USD 119,296,000 - 186,275,000; Full time

Job summary

Capgemini in Los Angeles is seeking a QA Engineer to perform end-to-end testing across functional, automation, and performance domains for a B2C portal. You will collaborate with analysts, developers, and stakeholders to craft comprehensive test plans and cases and execute manual and automated scripts, logging defects until resolution.

The role requires strong QA process knowledge, SDLC/Agile experience, and the ability to work within CI/CD pipelines.

Qualifications

• Experience as QA engineer with end-to-end testing across multiple domains.
• Proficient in automated test script execution and defect tracking.
• Familiar with CI/CD, Agile, and SDLC processes.
• Strong analytical and communication skills.

Responsibilities

• Perform end-to-end QA testing across functional, automation, and performance domains for a B2C portal.
• Collaborate with business analysts, developers, and stakeholders to define test plans and test cases.
• Execute manual and automated scripts, identify defects, and track them through resolution.
• Participate in regression testing, release validation, and quality assurance activities throughout the software development lifecycle.
• Document test results clearly and communicate findings effectively to project stakeholders.
• Work with AI-driven testing approaches to improve efficiency.

Skills

Functional Testing

Test Automation

Performance Testing

Analytical thinking

Problem-solving

Communication

Agile methodologies

SDLC understanding

Tools

Jira

TestRail

Reflect.run

K6

Postman

Git

Cursor IDE

Job description

Capgemini in Los Angeles is seeking a QA Engineer to perform end-to-end testing across functional, automation, and performance domains for a B2C portal. You will collaborate with analysts, developers, and stakeholders to craft comprehensive test plans and cases and execute manual and automated scripts, logging defects until resolution.

The role requires strong QA process knowledge, SDLC/Agile experience, and the ability to work within CI/CD pipelines.