Quality Engineer

What you can expect in this role:

• Build and maintain automated tests at various levels within application stacks for clients across Agile squads
• Learn and apply automation architectures, methodologies, coding standards, and best practices through code reviews and peer collaboration
• Partner with development teams to adopt test best practices from the SDET community
• Execute and maintain automated test cases in the CI/CD pipeline
• Produce reports on KPIs of testing results, logging, and coverage
• Collaborate with Agile teams to develop testing plans covering all business functionalities
• Support release activities and contribute to release readiness validation
• Work seamlessly with offshore teams to complete testing requirements collaboratively
• Support quality engineering and automated testing efforts for AI, LLM, and GenAI-enabled applications and workflows

Tools for Success:

• Bachelor's degree plus 2–4 years of experience writing automated tests at the unit, integration, and system levels
• Demonstrated growth in QE skills and increasing ownership of test automation tasks
• Solid understanding of software quality assurance principles and practices
• Experience participating in the Software Test Life Cycle (STLC), including test planning, test case design, and execution in an Agile environment
• Familiarity with TDD, continuous integration and delivery, and code review practices
• Hands-on experience with JavaScript/TypeScript, Node, or Java
• Understanding of OOP concepts
• Hands-on experience with end-to-end test automation frameworks such as Nightwatch.js, Selenium, TestCafe, or Cypress
• Experience using a test case manager such as TestRail or Zephyr
• Hands-on experience writing integration tests using Postman or a similar tool/library
• Hands-on experience writing unit tests using JUnit/TestNG, Chai, Mocha, Mockito, or a similar mocking framework
• Familiarity with Amazon Web Services and Docker
• Experience incorporating automated tests into a CI/CD pipeline
• Exposure to or interest in writing integration test suites against APIs
• Experience or exposure to testing AI/LLM/GenAI applications, including APIs, model outputs, prompt-driven workflows, or AI-enabled product features
• Familiarity with testing concepts specific to GenAI solutions, such as response quality, reliability, accuracy, and regression testing, is a plus
• Knowledge of Agile/SCRUM/Kanban
• Experience collaborating with distributed or offshore teams is a plus

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships.

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.