Testing Automation Lead - New York, NY

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us a ...

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description
Role Overview:
The Testing Automation Lead is responsible for defining and driving the automation strategy across complex insurance transformation programs. The role requires deep expertise in automation engineering leadership in guiding distributed teams and strong understanding of insurance platforms products and processes. The Lead ensures delivery excellence by implementing scalable automation solutions improving quality outcomes and accelerating time to market across engagements.

Key Responsibilities:
Define automation roadmap and strategy aligned to program objectives within the insurance portfolio

Design develop and implement enterprise grade automation frameworks for web mobile API and integration testing

Lead automation teams provide technical guidance conduct code reviews and ensure engineering best practices

Oversee automation planning estimation prioritization and reporting across Agile delivery cycles

Ensure strong collaboration with developers solution architects business analysts and manual QA teams

Establish automation standards templates reusable libraries version control practices and continuous improvement models

Integrate automation suites into CICD pipelines and ensure continuous validation practices

Drive optimization of test coverage maintainability and reusability across multiple insurance applications

Manage stakeholder expectations and provide clear communication on automation progress risks and dependencies

Mentor automation engineers and groom next level automation leads

Required Skills and Experience:
Ten or more years of experience in Quality Engineering with at least four years in automation leadership roles

Expertise in Selenium Java or Python TestNG or JUnit and designing custom frameworks

Strong hands on knowledge of API test automation Rest Assured or similar tools

Working experience with CICD tools such as Jenkins Azure DevOps Git and pipeline configuration

Ability to architect frameworks using Page Object Model data driven hybrid and service level automation patterns

Good understanding of insurance domain processes including policy claims billing and underwriting systems

Proven experience leading geographically distributed automation teams

Strong knowledge of SDLC STLC Agile DevOps and modern delivery practices

Preferred Skills:
Mobile automation experience with Appium

Experience with BDD frameworks such as Cucumber or SpecFlow

Exposure to cloud technologies containerization and microservices architecture

Understanding of performance engineering concepts and collaboration with performance teams

Behavioral Competencies:
Strong leadership and decision making skills

Excellent communication stakeholder management and conflict resolution ability

Ability to think strategically while managing hands on technical responsibilities

High ownership accountability and commitment to quality excellence

Education and Experience:
Bachelors degree in Engineering Computer Science or related field

Experience working with large Financial Services Insurance clients and multi vendor environments is preferred

The base compensation range for this role in the posted location is: 110, ,098.

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.

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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.