Senior Quality Assurance Automation Engineer
Listed on 2026-09-13
-
Quality Assurance - QA/QC
AI QA / Validation Engineer, IT QA Tester / Automation
We are seeking a senior quality engineering professional to support the modernization efforts we have under way within Individual annuities technology.
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.
Primary Responsibilities Modernization Testing and Automation- Create and maintain automated test suites for rewritten services.
- 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.
- Assess existing testing workflows, validation processes, test data, and reporting outputs.
- 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.
- Leverage Kiro, Copilot, Amazon Q, and similar tools to improve test productivity and quality outcomes.
- Generate and refine automated test cases, test scripts, test documentation, and validation checklists using AI-assisted workflows.
- Use AI tools to analyze legacy code, identify test coverage gaps, create impact assessments, and accelerate root cause analysis.
- Create reusable prompts, steering files, testing agents, workflow templates, and quality engineering accelerators.
- Promote practical AI usage within testing activities while following enterprise security, privacy, and governance expectations.
Test strategy, test planning, regression testing, integration testing, end-to-end testing, defect management, test metrics, traceability, and quality reporting.
Test AutomationFramework design, automated regression suites, API automation, reusable test utilities, data-driven testing, automated comparisons, and CI/CD test execution.
API and Service TestingREST APIs, SOAP services, JSON, XML, Swagger/OpenAPI, authentication flows, request/response validation, and service-to-service integration testing.
Data and Validation TestingSQL Server query skills, database validation, test data creation, expected-result comparison, and data quality checks.
AI-Assisted TestingHands-on use of Kiro, Copilot, Amazon Q, or similar tools for test generation, code analysis, documentation, impact analysis, and quality engineering workflows.
Technical TroubleshootingAbility to read application code, logs, pipeline outputs, API responses, and error messages to isolate issues and support root cause analysis.
CommunicationAbility to collaborate with QA, developers, business analysts, architects, actuarial teams, product owners, and vendor resources.
Technology Stack and Tools Testing and Automation ToolsPlaywright, Selenium, Postman, ReadyAPI / SoapUI, REST Assured, JMeter, qTest, Jira
API and Data FormatsREST, SOAP, JSON, XML, Swagger / OpenAPI
AI and Engineering ToolsKiro, Kiro CLI, Git Hub Copilot or M365 Copilot, Amazon Q, Agentic AI workflows
Dev Ops and Source ControlGit Hub or Git, Jenkins, CI/CD pipelines, basic pipeline troubleshooting
Data and PlatformsSQL Server, AWS exposure preferred, basic cloud testing concepts
Programming / Scripting Exposure Preferred Industry and Domain Experience- Insurance, annuities, life insurance, retirement, or financial services.
- Illustration systems, actuarial testing, product calculations, policy administration, or service modernization.
- Experience with FIA, RILA, variable annuity, or…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).