QA Test Automation Engineer

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Job Description

Position Overview:

We are seeking a highly experienced AI enabled QA Test Automation Engineer to lead quality engineering efforts for the Client Growth Retention CGR portfolio

Key Responsibilities:

Quality Strategy Delivery:

Lead quality planning test strategy and validation activities for complex business initiatives

Ensure comprehensive test coverage across functional integration regression and end to end testing efforts

Define quality metrics monitor release readiness and proactively identify delivery risks

Champion continuous improvement and best practices within the Quality Engineering organization

Automation Modernization:

Design and maintain scalable test automation solutions that support enterprise application delivery

Drive automation adoption across functional API and integration testing layers

Leverage AI powered tools and engineering practices to enhance test design execution analysis and maintenance

Evaluate emerging technologies and recommend innovative approaches to improve quality outcomes

Integration Data Validation:

Validate complex interactions across multiple applications services and business processes

Perform API database and end to end integration testing to ensure data accuracy and system reliability

Support operational and business driven testing requests that require coordination across multiple teams and platforms

Agile Stakeholder Collaboration:

Collaborate with product business architecture and development teams throughout the delivery lifecycle

Participate in Agile ceremonies and contribute to planning estimation risk assessment and release activities

Communicate testing progress risks and recommendations to technical and business stakeholders

Serve as a trusted quality advisor for project and operational initiatives

Continuous Delivery Governance:

Support automated quality controls within CICD pipelines

Manage testing activities defects and quality reporting using enterprise test management tools

Ensure compliance with established quality standards and governance processes

Required Qualifications:

Bachelors degree in Computer Science Engineering Information Systems or a related discipline

7 years of experience in Software Quality Assurance Test Automation or Quality Engineering

Demonstrated experience leading testing efforts for complex enterprise applications

Strong expertise in test automation frameworks API testing data validation and system integration testing

Hands on experience with modern automation technologies including Selenium Playwright Web driver IO Java and Python

Hands on experience with AI assisted engineering platforms such as Cursor Claude Code GitHub Copilot Chat GPT Enterprise or similar technologies

Experience working within Agile and DevOps delivery environments

Strong analytical troubleshooting and problem solving skills

Excellent communication and stakeholder management capabilities

Practical experience applying AI enabled tools and techniques within software testing or software engineering processes

Preferred Qualifications:

Experience in the Insurance or Financial Services industry

Knowledge of cloud native architecture APIs and microservices based systems

ISTQB Agile Testing or related industry certifications

Experience implementing AI driven approaches for test generation automation optimization or quality analytics

The base compensation range for this role in the posted location is: 90,000 - 101,226.

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.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.