Automation Test Lead/Architect

Maveric Systems Limited; Dallas (TX); On-site; USD 85,000 - 130,000; Part time

Job summary

Maveric Systems Limited is seeking a quality engineering professional focused on test automation, API validation, AI-assisted testing, and data strategies in a Dallas, TX area role.

The candidate will help increase automated test coverage, reduce manual testing effort, and use Kiro and AI tools to accelerate end-to-end testing activities. Collaboration with QA, developers, and business teams is essential.

Qualifications

• Experience in test strategy, planning, and defect management.
• Experience in REST API, SOAP/XML testing and data validation.
• Ability to craft data conditioning and reusable test data strategies.
• Experience integrating tests into CI/CD pipelines.
• Familiarity with AI-assisted testing tools like Kiro or Copilot.

Responsibilities

• Support REST API, SOAP/XML, JSON, integration and end-to-end testing.
• Validate service responses, payloads, and downstream integrations.
• Design and implement automated regression testing for annuity calculations.
• Improve test case generation, execution, reporting, and traceability.
• Use AI tools to generate test cases and accelerate modernization activities.
• Collaborate with QA, developers, analysts, and product owners.
• Help establish reusable testing patterns and QA assets.

Skills

Test strategy

Regression testing

Integration testing

End-to-end testing

QA collaboration

Communication

Tools

CI/CD pipelines

API automation

Swagger/OpenAPI

SQL Server

Kiro AI tools

Job description

This role is primarily focused on quality engineering, test automation, API validation, regression testing, test data strategy, and AI-assisted testing. The resource should be comfortable reading code and performing light scripting, but this is not intended to be a traditional application developer role.

The successful candidate will help increase automated test coverage, reduce manual testing effort, improve quality and traceability, and use Kiro and other AI tools to accelerate end-to-end testing activities.

• Support REST API, SOAP/XML, JSON, integration, regression, and end-to-end testing.
• Validate service responses, transformation logic, request/response payloads, and downstream integrations.
• Support test data identification, data conditioning, and reusable test data strategies.
• Integrate automated tests into CI/CD pipelines where appropriate.
• Assist with deployment readiness, smoke testing, regression testing, and production validation planning.
• Reverse engineer existing test assets and calculation validation approaches to support modernization planning.
• Design and implement automated regression testing capabilities for annuity illustration calculations.
• Improve test case generation, execution, comparison, reporting, and traceability.
• Use Kiro and other AI tools to generate test cases, analyze existing logic, create documentation, and accelerate modernization activities.
• Help establish reusable testing patterns, validation frameworks, prompts, and AI-assisted quality engineering assets.

Skill Area

Needed Experience

Quality Engineering

• Test strategy, test planning, regression testing, integration testing, end-to-end testing, defect management, test metrics, traceability, and quality reporting.

Test Automation

• Framework design, automated regression suites, API automation, reusable test utilities, data-driven testing, automated comparisons, and CI/CD test execution.

API and Service Testing

• REST APIs, SOAP services, JSON, XML, Swagger/OpenAPI, authentication flows, request/response validation, and service-to-service integration testing.

Data and Validation Testing

• SQL Server query skills, database validation, test data creation, expected-result comparison, and data quality checks.

AI-Assisted Testing

• Hands-on use of Kiro, Copilot, Amazon Q, or similar tools for test generation, code analysis, documentation, impact analysis, and quality engineering workflows.

Technical Troubleshooting

• Ability to read application code, logs, pipeline outputs, API responses, and error messages to isolate issues and support root cause analysis.

Communication

• Ability to collaborate with QA, developers, business analysts, architects, actuarial teams, product owners, and vendor resources.