About the role
As an Automation Test Engineer (Python, AI, Payments), you will make an impact by designing and optimizing intelligent automation solutions that enhance efficiency and reduce manual effort across payment systems. You will be a valued member of the engineering team, collaborating closely with cross-functional stakeholders to drive automation innovation and framework optimization.
In this role, you will:
• Design, develop, and implement scalable automation solutions using Python
• Build AI-driven automation capabilities, including agents to reduce manual intervention
• Optimize and enhance existing automation frameworks for performance and efficiency
• Leverage tools such as Claude and GitHub Copilot effectively to accelerate automation development
• Collaborate with teams to deliver automation solutions within the payments domain
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants within the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• Bachelor’s degree in Engineering, Technology, or a related field
• Strong hands-on experience in Python development
• Proven experience in the payments domain
• Experience implementing AI-driven automation, including agent-based approaches
• Proficiency in using tools such as GitHub Copilot and Claude for development optimization
These will help you stand out
• Experience modernizing or transforming legacy automation frameworks
• Strong problem-solving and performance tuning skills
• Familiarity with scalable automation architectures
• Ability to drive innovation in AI-assisted development workflows
• Strong collaboration and stakeholder communication skills
Salary and Other Compensation:
Applications will be accepted until June 18, 2026.
The annual salary for this position is between $53,477– $92,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
