2+ years of professional QA automation software development experience.
Strong Java 8+ knowledge is a must
Base knowledge (with real working experience) of Spring framework
Working experience in REST API testing
Working experience with MySQL
Working experience with JUnit5, Maven
Working experience in CI and CD
Working experience with Docker containers
Experience in exploratory testing of new services, 3rd-side applications
An ability to communicate with your peers on par with your technical skills.
Happiness in collaborating with a diverse range of people of differing backgrounds and experience levels.
Self-directed and proactive in taking ownership of problems as they arise.
Knowledge of ERP systems
Perks & Benefits:
— Flexible working hours
— Possibility of working home or anywhere
— Paid vacation and sick leave
— Medical insurance
— Anonymous psychological assistance program
— Personal and professional development compensation
— Access to online training platforms, such as language courses and Linkedin Learning
— Career and leadership development
— Employee referral bonuses
— Team-building activities
— Comfortable office with a convenient location and free parking
Write clean, high-quality script
Close communication with manual QA engineers to clarify specific cases should be automated
Take an active part in AQA plannings to define sprint scope
Collaborate in a cross-functional product team which is building friendly
Contribute to the improvement of our overall QA automation best practices.
From the technology perspective, YayPay Platform is a SaaS offering, which integrates with a number of different systems, such as:
— ERP systems to pull accounts receivable data from (e.g. NetSuite, Intacct, Sage X3 etc.)
— CRM systems, like SalesForce to pull and push relevant customer information
— Payment Providers to allow CreditCard and ACH to be made through the platform
— Credit Providers like CreditSafe to pull credit information
The application currently undergoes the phase of the active new feature development — we are working on building new modules: Reporting & Analytics Module, Credit Module, Cash Application Module.
The application is built on Service-Oriented Architecture, with the use of Kubernetes and technologies around it.
The main technology stack is described below:
— Back-End: Java 11, Spring Framework, Hibernate, MySQL, Kafka, Exasol
— Front-End: VueJS and KendoUI
— Machine Learning: Python and relevant machine learning libraries are used for the ML services
— Hosting: the application is hosted on AWS, with extensive use of the native AWS services