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API Automation Testing Architect; SDET

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Greymatter Solutions
Full Time position Listed on 2026-11-10
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR

Job Description & How to Apply Below

Position: API Automation Testing Architect (SDET)

We are seeking a highly experienced API Automation Testing Lead(SDET) with over 10 years of expertise in designing and implementing enterprise-scale test automation solutions. The ideal candidate will possess strong hands-on experience in API Automation, Test Architecture, Fraud Management Systems, Analytics Reporting Platforms, and Banking Domain applications. The role requires close collaboration with business, development, data, and fraud operations teams to ensure high-quality delivery of fraud detection, monitoring, reporting, and analytics solutions.

The requirements align with enterprise SDET, API automation, fraud analytics, and reporting capabilities identified in internal role references.

Key Responsibilities
  • Lead end-to-end test automation strategy for Fraud Analytics and Reporting applications.
  • Design, develop, and maintain scalable API automation frameworks using Rest Assured, Karate, Postman, Playwright, or similar technologies.
  • Build and execute automated test suites for REST APIs, microservices, and event-driven architectures.
  • Validate fraud detection workflows, transaction monitoring systems, risk scoring engines, and case management platforms.
  • Drive API contract testing, integration testing, regression testing, and end-to-end automation.
  • Perform analytics and reporting validation, including dashboards, KPIs, operational reports, and executive reporting.
  • Develop complex SQL queries to validate data integrity across source systems, data warehouses, and reporting platforms.
  • Integrate automation suites into CI/CD pipelines using Jenkins, Git Lab CI, Azure Dev Ops, or similar tools.
  • Collaborate with Product Owners, Fraud Operations, Business Analysts, Architects, and Developers to define quality strategies.
  • Lead defect triage, root cause analysis, and production validation activities.
  • Mentor junior automation engineers and establish automation best practices.
Required Technical Skills
  • Strong programming expertise in Java.
  • Extensive experience with:
  • Rest Assured
  • Postman
  • Swagger/OpenAPI
  • Selenium
  • Playwright
  • TestNG/JUnit
  • Cucumber (BDD)
  • Maven/Gradle
  • Strong understanding of:
  • REST APIs
  • Microservices Architecture
  • JSON/XML Validation
  • API Contract Testing
  • Service Virtualization
  • Hands-on experience with:
  • Jenkins
  • Git Hub/Git Lab
  • Azure Dev Ops
  • CI/CD pipelines
  • Strong SQL and database testing skills.
  • Experience validating large-scale reporting and analytics platforms.
Domain Expertise
  • Banking and Financial Services.
  • Fraud Detection & Prevention.
  • Fraud Operations & Case Management.
  • Transaction Monitoring.
  • Fraud Analytics & Reporting.
  • Risk Management and Compliance.
  • Payment Cards, Digital Banking, Wire Transfers, ACH, or Real-Time Payments. Analytics & Reporting Experience
  • Validation of executive dashboards and fraud reporting solutions.
  • Experience with:
  • Power BI
  • Tableau
  • Cognos
  • Business Objects
  • Strong understanding of fraud KPIs, KRIs, operational metrics, and reporting governance.
  • Experience testing data pipelines, ETL workflows, and analytics platforms. Preferred Qualifications
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Kafka or event-driven systems.
  • Knowledge of data warehousing and data lake architectures.
  • Exposure to AI/ML-driven fraud detection solutions.

    Experience working in Agile/Scrum delivery models.
Education
  • Bachelor’s or Master’s degree in computer science, Information Technology, Engineering, or related field.
Nice To Have For Citi/OMAI Engagement
  • Experience supporting enterprise Fraud Analytics platforms.
  • Exposure to fraud monitoring and executive reporting ecosystems.
  • Experience testing customer risk, fraud strategy, and analytics solutions in large banking environments.
  • Knowledge of cloud-based analytics and AI-assisted fraud detection capabilities.
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