Location

This is a hybrid role based in Los Angeles, CA.

About the job you're considering

We are looking for an experienced Quality Engineering Lead to own end-to-end quality for a high-traffic, high-availability B2C digital platform. This is a full-fledged E2E QA leadership role spanning functional testing, test automation, and performance engineering. The ideal candidate leads a team of QA engineers, engages directly with client stakeholders to translate functional and non-functional requirements into robust test strategy and artifacts, drives modern automation and AI-assisted testing practices, and takes ownership of performance testing and tuning to ensure the platform scales reliably under production-level load.

Your role

• Own end-to-end quality for the platform: lead, mentor, and manage a team of QA engineers, assigning work, reviewing output, and ensuring on-time, high-quality delivery.
• Act as the primary QA point of contact for client and business stakeholders; gather, clarify, and translate both functional and non-functional requirements into actionable test strategy.
• Design and own functional test artifacts, including test strategies, test plans, test cases, traceability matrices, and release/quality checklists.
• Plan, execute, and oversee functional, regression, integration, and UAT testing cycles; provide final quality sign-off ahead of releases.
• Define and drive the test automation strategy, building and maintaining automation frameworks using Playwright (TypeScript/JavaScript) and Reflect.run,
• Own performance engineering end-to-end: define the performance test strategy, design and execute load, stress, and soak tests using K6, identify bottlenecks, and partner with engineering on tuning and validation.
• Leverage AI-powered tools such as Claude and Cursor to accelerate test design, automation scripting, and defect analysis, while establishing review harnesses and validation checkpoints to prevent hallucinated or incorrect outputs.
• Manage defect lifecycle end-to-end using Jira and TestRail, providing clear, timely visibility into quality status and risk for senior stakeholders.
• Partner with developers, business analysts, product owners, and architects across the SDLC to embed quality early (shift-left) and support CI/CD quality gates.
• Coach and upskill the QA team on automation, performance testing, and AI-assisted testing practices.

Your skills and experience

• 10+ years of overall QA/QE experience, including experience leading or mentoring a QA team in a lead or management capacity.
• Proven track record as a well-rounded, full-fledged E2E Quality Engineer across functional testing, test automation, and performance testing.
• Demonstrated experience designing test strategies, test plans, test cases, and other QA artifacts directly from functional and non-functional requirements.
• Strong stakeholder management skills, with direct experience interfacing with client/business stakeholders on requirements, quality status, and sign-off.
• Hands-on automation expertise with Playwright using TypeScript or JavaScript; working knowledge of, or strong aptitude to quickly learn, Reflect.run.
• Solid, hands-on performance testing and performance engineering experience: load/stress/soak testing, bottleneck identification, and collaborating on performance tuning. Experience with K6 is highly desirable.
• Proficiency using AI-powered development and productivity tools such as Claude and Cursor IDE to accelerate testing and delivery, along with a clear approach to building guardrails and review harnesses to avoid hallucinated or misfired AI-generated work.
• Strong understanding of QA processes, defect management, and tools such as Jira and TestRail.
• Good understanding of SDLC, Agile methodologies, and CI/CD pipelines.
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Nice-to-Have Skills
  • Experience with API testing tools such as Postman.
  • Familiarity with version control systems such as Git.
  • Prior experience testing high-traffic, high-availability B2C or e-commerce applications.
  • Exposure to cloud platforms (AWS/Azure/GCP) and monitoring/APM tools such as Grafana, Datadog, or New Relic.

The base compensation range for this role in the posted location is $68,911 - $161,544.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.