Shelton - Infrastructure - Engr- Testing & Automation

Franchise World Headquarters, LLC

Shelton (CT)

On-site

USD 110,000 - 145,000

Full time

4 days ago
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Job summary

Franchise World Headquarters, LLC is seeking a Testing & Automation Engineer to design, develop, and maintain automated tests for UI, API, and backend services. You will work across teams to embed quality early and continuously within accelerated AI-assisted development cycles.

The role emphasizes building maintainable automation, integrating tests into CI/CD (Azure DevOps), and applying a test-pyramid approach to improve coverage and reliability.

Qualifications

  • 5-7+ years of experience in software testing or automation.
  • Experience with UI/API/back-end automated tests.
  • Ability to read, write, or debug test code/scripts (Java/JS/Python/C#).
  • Hands-on with AI-assisted testing tools is required.

Responsibilities

  • Design, develop, and maintain automated tests for UI, API, and backend services.
  • Execute functional, integration, regression, and end-to-end tests.
  • Partner with engineers and product teams to define test scenarios and acceptance criteria.
  • Maintain and enhance test-automation frameworks; integrate tests into CI/CD pipelines.

Skills

Selenium
Cypress
Playwright
REST-assured
Postman
Java
JavaScript
Python
C#
AI-assisted testing

Education

Bachelor's degree in CS/Engineering/IS
Equivalent practical experience

Tools

Azure DevOps
CI/CD pipelines

Job description

Testing & Automation Engineer
About the Role:

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.

Responsibilities include but not limited to:
  • 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.
Qualifications (some examples listed below):
  • 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.
  • Familiarity with observability concepts and using quality/monitoring signals to inform testing is a plus.
  • Bachelor's degree preferred in Computer Science, Engineering, Information Systems, or a related field. Equivalent practical experience considered.

People Management: No | Department: Technology / Engineering / Testing | Reports To: Director, Testing & Observability | Location: Onsite | Travel: Minimal to none.

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