Mimecast is looking to build the next generation of its Human Risk Management solution, which uses AI and ML to help customers identify and address non-compliance, data loss, and security issues across communication and collaboration tools, and to respond to incidents quickly.
Requirements
- Skills and aptitudes for Quality Engineering, especially automated testing.
- Understanding of how to plan tests and break down stories into testable units.
- Familiarity with full-stack automated testing, verifying front- and back-end interfaces including RESTful and gRPC API endpoints, and web-based user interfaces.
- Object-oriented programming skills and experience automating in Java, JavaScript, Typescript or similar.
- Familiarity with building and scaling tests using frameworks like JUnit/TestNg and Selenium/Cypress/Playwright.
- Familiarity with databases and including database-side verification in automated tests.
- Familiarity with performance and scalability testing.
Responsibilities
- Design, develop and operate software tests for our industry leading solution for Human Risk Management.
- Create test strategies and plans to thoroughly test new features.
- Refine acceptance criteria into testable units and convert those to efficient and reliable automated tests.
- Integrate automated tests with CI/CD pipelines and sustain successful automation as part of our regular build process.
- Perform manual testing on occasions when automated tests are not practical.
- Detect, reproduce, and help resolve defects, emphasizing troubleshooting, root cause analysis, and preventing similar issues in the future.
- Use and embrace AI tools to help in Quality Engineering activities.
Other
- Help plan, refine and estimate epics and stories as part of an Agile Scrum team.
- Collaborate with cross-functional teams including Product Managers, Architects, and Engineers in the US and UK.
- Participate in and help drive Agile development processes.
- Push for continuous improvement in everything we do.
- Freely debate options and ideas, then rally behind decisions.
