Quality Assurance / Software Test Engineer (AI-Assisted Testing & Automation)

Essential duties include the following:
* Design and create risk-based test plans, test scenarios, and traceable test cases from business and technical requirements.
* Execute manual and automated tests, report defects, analyze failures, and accurately document results and evidence.
* Update and enhance reusable test suites, automation frameworks, and test methods to improve coverage, reliability, and maintainability.
* Create, manage, and, where appropriate, automate test-data setup and cleanup using approved tools and environments.
* Identify quality, delivery, data, security, and automation risks that may affect the schedule, and recommend mitigation actions.
* Provide clear, concise project, test, automation, and quality documentation.
* Contribute to requirements, specifications, test case, automation code, and test plan reviews.
* Collaborate with developers, business analysts, product owners, DevOps engineers, and other SIT professionals to solve problems and improve testability.
* Participate in the documentation, development, and continuous improvement of quality engineering processes, standards, and procedures.
* Build positive working relationships within and across departments.
* Proactively strengthen technical, automation, AI, and domain knowledge.
* Follow established organizational processes, security requirements, data-handling standards, and responsible AI practices.
* Use approved generative AI and agentic tools, including Kiro, to assist with test scenario generation, automation code creation, framework scaffolding, documentation, and failure analysis, with human review of generated outputs.
* Develop and maintain automated tests for web, API, database, and end-to-end workflows using tools such as Playwright or Selenium and appropriate service-testing frameworks.
* Apply codebase-aware and requirements-aware techniques to identify coverage gaps, edge cases, negative scenarios, and potential drift between requirements, implementation, and automated tests.
* Integrate automated testing into CI/CD pipelines and support continuous testing through reliable quality gates, reporting, traces, logs, screenshots, and other diagnostic artifacts.
* Evaluate and improve automation resilience through stable locator strategies, reusable components, data-driven design, retry-aware assertions, and appropriate self-healing or AI-assisted maintenance techniques.
* Support testing of AI-enabled features by validating functional behavior, accuracy, reliability, security, privacy, explainability, bias risks, and appropriate human oversight when applicable.
* Use production-like telemetry and defect trends, when authorized, to prioritize regression coverage and strengthen shift-left and shift-right quality practices.

Serious candidates will possess the minimum qualifications:
* Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field from an accredited college or university, or equivalent relevant experience, required.
* Minimum of three (3) years of software testing or quality engineering experience, including static, system, regression, functional, non-functional, exploratory, and performance testing.
* Experience testing modern web applications and distributed systems.
* Proficient Microsoft Office skills, including Outlook, Word, and Excel.
* Experience with API testing tools and practices, such as Postman, SoapUI, or automated REST API validation.
* Experience with Agile software delivery practices using Scrum and/or Kanban preferred.
* Strong understanding of testing fundamentals, including risk-based testing, requirements traceability, defect management and analysis, test design techniques, defect prevention, and remediation validation.
* Understanding of relational data models and data integrity concepts.
* Working knowledge of SQL and relational databases, such as SQL Server or PostgreSQL.
* Basic software development skills in at least one language, with the ability to read, troubleshoot, and maintain automated test code.
* Basic understanding of AWS or another cloud platform preferred.
* Experience querying databases for test-data creation and retrieval and evaluating the performance of basic queries.
* Experience with test management, source control, CI/CD, and defect reporting tools such as Azure DevOps, Jira, or similar platforms.
* Ability to remain current with evolving testing methods, automation frameworks, AI-assisted engineering practices, and responsible AI expectations.
* Exposure to external data sources and storage systems, including file shares, databases, object storage, APIs, and flat files.
* Hands-on experience creating or maintaining test automation using Playwright, Selenium, or a comparable framework.
* Experience using AI-assisted development or testing tools, such as Kiro or comparable coding assistants, to generate, review, debug, or maintain test assets preferred.
* Understanding of generative AI limitations and the need to validate AI-generated test cases, code, locators, assertions, test data, and documentation before use.
* Familiarity with modern AI-in-testing patterns such as requirements-to-test generation, risk-based test prioritization, agentic workflow validation, synthetic test-data generation, intelligent failure triage, and automation maintenance preferred.
* Experience with Playwright MCP, Selenium MCP, Model Context Protocol integrations, or other browser-aware AI automation approaches is a plus.
* Ability to review automation code for completeness, maintainability, security, reliable assertions, stable selectors, and alignment with established framework standards.
* Demonstrate initiative and innovation.
* Strong interpersonal skills.
* Strong verbal and written communication skills.