This company leverages AI to bring stability and predictability to cross-border supply chains by transforming scattered instructions into actionable business rules for automated shipment document verification. Their tool enhances supply chain productivity, reduces capital needs, and improves client communication while providing insights to address bottlenecks.
Responsibilities
Manual Testing: Perform thorough testing of new features and bug fixes, creating and maintaining test cases and documenting issues using tools like Jira.
Test Automation: Develop automation scripts using Selenium or similar tools, and maintain automated testing frameworks.
Regression Testing: Ensure updates don’t affect existing functionality through regular regression tests.
Collaboration: Work with developers and product managers to integrate QA processes and communicate risks or issues.
Performance Testing: Conduct performance and load tests to ensure scalability.
Test Data Management: Prepare test data for both manual and automated tests.
Reporting: Document results and provide updates on QA progress during sprints.
Qualifications
3+ years of experience in software QA (manual and automated).
Proficient in creating automation scripts using Selenium or equivalent tools.
Strong understanding of software development life cycles (SDLC) and QA methodologies.
Experience with bug tracking systems such as Jira or Trello.
Hands-on experience with API testing and RESTful services.
Expertise in regression, smoke, and performance testing.
Familiarity with version control systems like Git.
Detail-oriented with strong problem-solving abilities.
Ability to work collaboratively in a fast-paced development environment.
Nice to Have
Experience with CI/CD tools like Jenkins or GitLab CI.
Familiarity with cloud environments such as AWS and testing cloud-native applications.
Knowledge of performance testing tools like JMeter or LoadRunner.