Senior QA Automation Engineer
New
J
Juniper Square Financial Technology
Americas (USA or Canada)Full-TimeSenior
SalaryThe U.S. base salary range for this role is 119,000 - 149,000 USD and the Canadian base salary range for this role is 130,000 - 150,000 CAD.
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 5+ years
- Required Skills
- GraphQLPythonSQLJavascriptTypeScriptAPI testingCI/CDRESTful APIsPlaywright
Requirements
- Bachelor's degree in Computer Science or equivalent professional experience.
- 5+ years in Software Quality Assurance with expertise in testing web applications.
- Skilled in designing, building, and maintaining test automation frameworks for web applications (preferably using Playwright).
- Proficiency in at least one programming language: JavaScript, TypeScript, or Python.
- Experience using AI-powered tools (e.g., Augment, Cursor, Claude) to accelerate test authoring and debugging.
- Hands-on experience in manual or automated testing of REST/GraphQL APIs using tools like Postman, RestAssured, or Locust.
- Understanding of CI/CD pipelines and software development lifecycle concepts.
- Familiarity with Git, TestRail, and Jira.
- Working knowledge of relational databases and SQL.
- Knowledge of cloud environments (e.g., AWS).
- Strong analytical and problem-solving abilities.
- Strong written and verbal communication skills in English.
Responsibilities
- Review functional specifications and technical design documents, providing meaningful feedback and using AI-assisted analysis to identify edge cases or logic gaps.
- Work closely with development teams to identify test cases for automation and leverage AI-powered IDEs to rapidly prototype and scaffold new test suites.
- Design, develop, and execute test cases against product features and backend systems.
- Maintain and extend automation frameworks (Playwright/Locust) by utilizing LLMs for code refactoring and optimizing test scripts.
- Develop automated test result reports and highlight potential quality risks.
- Identify, troubleshoot, and track bugs using AI tools to assist in root cause analysis and log interpretation.
- Design evaluation frameworks for LLM-powered features, including prompt regression testing and behavioral drift detection.
- Partner with engineering to recommend solutions for decreasing manual testing effort through AI-driven test generation.
View Full Description & ApplyYou'll be redirected to the employer's site
