Claris, Inc. is looking for a Software QA Engineer to define the testing vision for their cloud platform and advance existing technologies and develop new products.
Requirements
- 5+ years of quality engineering experience in modern web technologies
- Proven experience designing, developing, and executing test plans and test cases for AI-powered features and applications
- Experience with test automation development, tools, and framework knowledge
- Working knowledge of one or more higher level development languages (JavaScript, Python, Swift)
- Strong understanding of web technologies: HTML, CSS, REST APIs
- Possess a solid understanding of CI/CD and agile SDLC concepts: TDD, continuous test, and delivery
- Skilled with git, branching processes, and release coordination
Responsibilities
- Collaborate cross-functionally with teams to architect and implement a highly scalable, reliable, and maintainable test automation solution.
- Design, engineer, maintain, and execute testing solutions as the owner of one or more technology areas.
- Developing test automation frameworks and end-to-end tests to deliver quick, effective, and repeatable testing against our cloud platform.
- Handle coordination with cross-functional test engineering teams to ensure adequate test coverage of complex features is expected.
- Involved in testing AI model's ability to make correct predictions, handle various inputs and scenarios, and maintain consistent performance over time.
- Ability to validate the accuracy, robustness, and performance of AI/ML models
- Being able to run evaluate and automate AI performance of AI models
Other
- The team at Claris, Inc., is searching for a Software QA Engineer.
- We are looking for a creative, customer-focused, technical engineer to define the testing vision for our cloud platform at Claris.
- We are looking for a self-motivated and dynamic individual with strong technical and interpersonal skills who can contribute in a team environment.
- A Senior Software QA Engineer vocalizes risk areas during the product development cycle.
- Equally important is a strong aptitude for learning new technologies with a good instinct for discovering defects in a complex software ecosystem.
