Testing and Automation Engineer

Subway•Shelton, CT

11d

About The Position

The Testing & Automation Engineer designs, develops, and maintains automated test solutions that ensure the quality and reliability of software applications and services, operating as part of the enterprise-wide Testing function — a horizontal shared service supporting all product, platform, and engineering teams. This role increases functional test coverage through automation, reduces manual effort, and supports consistent, high-quality delivery across the software development lifecycle in accelerated, AI-assisted cycles. The Testing & Automation Engineer partners closely with Software Engineers, Product, and DevOps teams to embed quality early and continuously.

Requirements

5–7+ years of experience in software testing, quality engineering, or automation roles.
Proficiency with automation tools and frameworks (e.g., Selenium, Cypress, Playwright, REST-assured, Postman, or similar).
Ability to read, write, or debug test code or scripts (e.g., Java, JavaScript/TypeScript, Python, C#).
Understanding of REST APIs and service-based architectures; familiarity with CI/CD pipelines and continuous-testing concepts.
Hands-on experience with AI-assisted testing tools and practices required.
Bachelor’s degree preferred in Computer Science, Engineering, Information Systems, or a related field. Equivalent practical experience considered.

Nice To Haves

Familiarity with observability concepts and using quality/monitoring signals to inform testing is a plus.

Responsibilities

Design, develop, and maintain automated tests for UI, API, and backend services; execute functional, integration, regression, and end-to-end tests across applications and platforms, applying a test-pyramid approach that favors fast, reliable API/service-level automation.
Partner with Software Engineers and Product teams to define test scenarios and acceptance criteria; participate in sprint planning, refinement, and retrospectives.
Maintain and enhance test-automation frameworks and tooling; build resilient, maintainable automation (e.g., attribute/accessibility-based locators) that survives UI and content change; integrate automated tests into CI/CD pipelines (e.g., Azure DevOps) for continuous testing.
Identify, document, and track defects through resolution; perform root-cause analysis and partner with engineering teams on fixes.
Define and apply functional-quality release-readiness criteria; provide evidence-based quality signals and go/no-go input for releases, and report coverage and defect-escape measures.
Leverage AI-assisted tools across the test lifecycle (test-case generation, test-data creation, coverage analysis, defect detection); review and validate AI-generated tests, tag and report AI-generated test cases for transparency, and help define guardrails for safe, policy-compliant AI use.