Job Requirements
Skills
Job description for Software QA Engineer (Automation) at Ula
- Work as part of cross functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition through to delivery
- Designing, developing and supporting frameworks for our test infrastructure and providing automation expertise to our development teams.
- Contributing toward predictable delivery of quality releases
- Research, recommend and implement tools as needed with the goal of increasing automation
- Proactively bringing issues and problems to the attention of the team; generating, proposing and implementing innovative solutions to solve them
- Be meticulous about documentation and maintaining a robust log of all test cases and test results.
- Bachelor’s degree or higher in Computer Science or in any related engineering discipline
- 2-5 years of Software Development experience
- Strong background in tooling or QA automation
- Thorough understanding of SDLC, specifically automated QA processes in agile development environments
- Experience in writing, executing and monitoring automated test suites using a variety of technologies including, but not limited to, Cucumber, Concordion, Selenium, Fit/FitNesse, SoapUI
- Proficient with bug tracking and test management toolsets.
- Strong working knowledge of testing fundamentals such as TDD & BDD
- Good experience with relational databases such as MySQL & PostgreSQL
- Use appropriate measures and KPIs to validate and report on software quality Identify and test for functional ‘edge cases’ outside of expected workflow
- Have the drive to become an expert in:
- Unit Testing
- Integration Testing
- Performance/Stress/Scalability Testing
- Automated Browser Testing
- User Testing
- Great problem solving skills and propensity to learn and mentor SDETs
- Excel at working in small, dynamic, and fast-paced groups
- Building test infrastructures using containerization technologies such as Docker
- Testing enterprise applications deployed to cloud environments such as AWS.
- Able to troubleshoot complex systems problems, debug, and find root causes.
- Excellent verbal and written communication skills.
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