Automation Test Engineer (Python, AI, Payments)
Cognizant · California, United States
- Hybrid
- Full-time
- $72,988 / year
- California, United States
Job highlights
- Design and optimize intelligent automation for payments.
- Develop scalable Python and AI automation solutions.
- Enhance existing automation frameworks.
- Utilize AI tools like Claude and GitHub Copilot.
- Collaborate with cross-functional teams on automation.
About the role
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*
Key skills/competency
- Automation Test Engineer
- Python
- AI
- Payments
- Test Automation
- Software Development
- Framework Optimization
- Agent-based Automation
- GitHub Copilot
- Claude
Skills & topics
- Automation Test Engineer
- Python
- AI
- Payments
- Test Automation
- Software Development
- Framework Optimization
- Agent-based Automation
- GitHub Copilot
- Claude
- Engineering
- Technology
- Remote
How to get hired
- Customize your resume: Highlight Python, AI, payments domain experience, and automation achievements.
- Tailor your application: Emphasize your understanding of AI-driven automation and framework optimization.
- Prepare for interviews: Be ready to discuss your experience with Python, AI tools, and the payments industry.
- Showcase collaboration: Demonstrate your ability to work with cross-functional teams on automation projects.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for the Automation Test Engineer role at Cognizant?
- The annual salary for the Automation Test Engineer position at Cognizant ranges from $53,477 to $92,500, depending on experience and qualifications. This role is also eligible for Cognizant's discretionary annual incentive program.
- Is sponsorship available for the Automation Test Engineer position at Cognizant?
- No, Cognizant will only consider applicants who are legally authorized to work in the United States without company sponsorship. Visa transfer or sponsorship is not available for this role.
- What are the key technical skills required for the Automation Test Engineer role at Cognizant?
- Key technical skills include strong hands-on experience in Python development, implementing AI-driven automation (including agent-based approaches), and proficiency with tools like GitHub Copilot and Claude. Experience in the payments domain is also essential.
- What is the work arrangement for this Automation Test Engineer position?
- This is a remote position open to qualified applicants within the United States. While the current arrangement is remote, it may change based on project and business needs, but clarity on role expectations will always be provided.
- What educational background is required for the Automation Test Engineer role at Cognizant?
- A Bachelor’s degree in Engineering, Technology, or a related field is required to be considered for this Automation Test Engineer position.
- How can I stand out when applying for the Automation Test Engineer role at Cognizant?
- To stand out, highlight experience in modernizing legacy automation frameworks, strong problem-solving and performance tuning skills, familiarity with scalable automation architectures, and the ability to drive innovation in AI-assisted development.