Test Engineer- Boston, MA

Photon•Dallas, TX

7d•$37,000 - $131,000•Onsite

About The Position

We are looking for a detail-oriented Test Engineer to join our Quality Engineering team. In this role, you will be a key driver of software quality, responsible for designing and maintaining robust automation frameworks and ensuring high standards through rigorous testing cycles. You will work closely with development teams to implement quality gates within our delivery pipeline, moving beyond manual execution to a fully CI-integrated automation strategy.

Requirements

Strong proficiency in Java and hands-on experience with Playwright (or similar tools like Pytest).
Expertise in testing RESTful services using tools like Postman, Insomnia, or Java-based libraries (e.g., Requests).
Practical knowledge of integrating tests into DevOps tools such as Jenkins, GitLab CI, or GitHub Actions.
Deep understanding of the Software Testing Life Cycle (STLC) and Agile methodologies.
Proficiency with management tools like Jira, Azure DevOps, or Bugzilla.
Comfortable using Git for managing test scripts and collaboration.

Nice To Haves

Experience with performance testing tools (e.g., Locust or JMeter).
Familiarity with containerization (Docker) to run tests in isolated environments.
Knowledge of SQL for backend data validation.
Strong analytical mindset with the ability to think like an end-user during exploratory sessions.

Responsibilities

Design, develop, and maintain scalable automated test frameworks using Java and Playwright to ensure maximum test coverage.
Integrate automated test suites into the CI/CD pipeline, establishing automated quality gates that prevent defective code from reaching production.
Execute a balanced testing strategy including Functional, Regression, and Exploratory testing to identify edge cases and usability issues.
Perform thorough API testing to validate endpoint functionality, performance, and security, ensuring seamless communication between microservices.
Handle the end-to-end testing process, including test creation, strategic test execution, and proactive defect management (tracking, reporting, and verification).
Monitor test results and pipeline health to optimize execution time and reduce flakiness in the automation suite.