Senior Quality Assurance Automation Engineer

Maveric Systems Limited; Denver (CO); On-site; USD 110,000 - 140,000; Full time

Job summary

Maveric Systems Limited seeks a senior quality engineering professional to advance modernization efforts within Individual annuities technology. The role focuses on quality engineering, test automation, API validation, regression testing, test data strategy, and AI-assisted testing, with comfort reading code and light scripting.

The successful candidate will boost automated test coverage, reduce manual testing, improve quality and traceability, and leverage AI tools to accelerate end-to-end

Qualifications

• Experience in quality engineering, test planning, regression testing, and traceability.
• Proven ability to design and implement test automation strategies.
• Hands-on API and service testing, including REST/SOAP and data validation.
• Familiarity with AI-assisted testing practices and modern tooling.

Responsibilities

• 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, and downstream integrations.
• Assist with test data identification, data conditioning, and reusable data strategies.
• Integrate automated tests into CI/CD pipelines and deployment readiness activities.
• Develop automated regression capabilities for annuity calculation testing.

Skills

Quality Engineering

Test Automation

API testing

Data Validation

AI-Assisted Testing

Technical Troubleshooting

Communication

Tools

Playwright

Selenium

Postman

ReadyAPI/SoapUI

REST Assured

JMeter

qTest

Jira

GitHub Copilot

M365 Copilot

Job description

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.

Retooling and Testing Modernization

• 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.

AI-Enabled Quality Engineering

• 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.

Required Skillsets

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.

Technology Stack and Tools

Testing and Automation Tools

Playwright, Selenium, Postman, ReadyAPI / SoapUI, REST Assured, JMeter, qTest, Jira

API and Data Formats

REST, SOAP, JSON, XML, Swagger / OpenAPI

AI and Engineering Tools

Kiro, Kiro CLI, GitHub Copilot or M365 Copilot, Amazon Q, Agentic AI workflows

DevOps and Source Control

GitHub or Git, Jenkins, CI/CD pipelines, basic pipeline troubleshooting

Data and Platforms

SQL 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 similar product calculation testing is a plus.
• Experience working with offshore or vendor delivery teams is preferred.

Ideal Candidate Profile

• Quality engineer first, with enough technical depth to read code, troubleshoot issues, and automate tests.
• Strong API automation and regression testing mindset.
• Comfortable using AI tools in a practical, governed, enterprise environment.
• Able to work independently with ambiguous legacy systems and help create structure.
• Strong analytical skills and ability to connect business rules, test cases, data, and service responses.
• Good communicator who can explain testing gaps, risks, and automation opportunities clearly.

Key Outcomes Expected

• Increase automated regression coverage for modernization services.
• Reduce manual testing effort through AI-assisted testing and automation.
• Improve test documentation, traceability, repeatability, and reporting.
• Support faster validation of rewritten services and modernization deliverables.