QA Engineer – Automation & AI Expert
Fiserv
Full-time
Alpharetta, Georgia, United States of America
2 views
Posted September 3, 2026
Job Description
Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
QA Engineer – Automation & AI Expert
About your role:
Lead quality engineering and release coordination for a high-volume portfolio of mainframe and integrated applications. The role emphasizes scalable test automation, responsible use of AI, risk-based testing, and cross-functional delivery across the SDLC and STLC.
What you’ll do:
- Design, implement, and continuously improve automated testing for mainframe and integrated applications, including reusable regression suites, test-data validation, batch workflows, and release-readiness checks. - Apply approved AI tools to accelerate requirements analysis, test-case generation, coverage-gap detection, defect triage, failure analysis, documentation, and status reporting. - Review AI-generated outputs for accuracy, completeness, traceability, security, and business relevance while retaining human accountability for quality decisions. - Identify high-value automation opportunities, define success measures, and partner with technical teams to pilot and scale solutions that improve coverage, speed, and reliability. - Coordinate concurrent projects and recurring releases, including test planning, environment and data readiness, defect resolution, risk management, stakeholder communication, and signoff. - Maintain traceability and provide clear reporting on test progress, defects, risks, quality metrics, and release health.
Experience you’ll need to have:
- 6+ years of experience designing or coordinating automated test solutions, reusable frameworks, regression suites, test-data management, and results reporting. - 3+ years of experience in generative AI and AI-assisted quality engineering, including prompting, context preparation, output evaluation, and responsible-use practices. - Strong knowledge of SDLC and STLC practices, requirements analysis, test planning, execution, defect management, and release readiness. - Ability to evaluate automation candidates using business value, risk, repeatability, complexity, maintenance cost, and expected return. - Strong leadership, organization, risk analysis, stakeholder management, and written and verbal communication skills. - Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field, or equivalent experience and certifications.
Experience that would be great to have:
- Hands-on IBM mainframe testing experience, with emphasis on JCL and familiarity with technologies such as COBOL, DB2, VSAM, CICS, IMS, TSO/ISPF, REXX, CA7, Endevor, FILE-AID, and debugging tools. - Experience in payment processing, acquirer systems, association or network certification, and change-release testing. - Experience with JIRA, Kanban, delivery pipelines, and scheduled mainframe automation.
Sponsorship:
You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
#LI-IH1
This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name - Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Experience you’ll need to have:
- 6+ years of experience designing or coordinating automated test solutions, reusable frameworks, regression suites, test-data management, and results reporting. - 3+ years of experience in generative AI and AI-assisted quality engineering, including prompting, context preparation, output evaluation, and responsible-use practices. - Strong knowledge of SDLC and STLC practices, requirements analysis, test planning, execution, defect management, and release readiness. - Ability to evaluate automation candidates using business value, risk, repeatability, complexity, maintenance cost, and expected return. - Strong leadership, organization, risk analysis, stakeholder management, and written and verbal communication skills. - Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field, or equivalent experience and certifications.
Apply directly through the application link above