API KARATE Professional

API QA (Embedded Automation Engineer) Job Description Responsibilities Participate in discussing strategy and implementation of integration and e2e testing for components Collaborating with Product Owner/Analysts to help create and refine user stories and acceptance criteria and ensure the acceptance tests reflect the desired functionality. Evaluation of functional and non-functional requirements for testability and suitability for automation. Designing, Scripting, Executing test automation scenarios and documenting test results Increase coverage of Automation packs and pass rate in testing cycle as instructed by the Automation Lead Participate in release activities and giving QA sign offs Work collaboratively as part of a multi disciplinary Agile team Requirements Software development and strong coding skills preferably with Java or Spring, Python Understanding of iterative style of application development Experience with test automation of backend or Rest API Deep knowledge and understanding of testing methodology Strong analytical skills MUST have skills NOT just a class room training experience Hands on experience on Core Java/Python, Maven Hands on experience on REST ASSURED/Karate, JUnit framework for API testing Hands on experience on Cucumber, BDD methodology, Gherkin syntax Hands on experience in any Java IDE Eclipse or IntelliJ Hands on experience on GIT, JIRA, Jenkins CICD exposure Good Understanding of REST API types GET, PUT, POST, DELETE an its working Good understanding of HTTP, JSON protocol and syntax Good understanding of Message Schema, RAML/OAS Specifications, Message Request Response mechanism Working experience in Agile methodology or SAFe with insprint automation Strong written and verbal English communication skills GOOD to have skills Understanding of STUB or Service virtualization Understanding of cloud based architecture Understanding of any API testing tools like POSTMAN, Rest Client, Anypoint etc. Been able to understand Retail Banking functions requirements Good understanding of cloud architecture preferably AWS Good understanding of Kubernetes and Docker capabilities