QA Automation Engineer (Full Time Permanent Jacksonville, FL or Denver, CO)

As a Full Stack QA Engineer, you'll join a close-knit team of engineers, product managers, and client services developers to build the future of a platform destined to power immersive digital experiences for our customers and partners. We are looking for a diverse array of technical capabilities rooted in proven product experience with modern technology stack architecture. A solid understanding and expertise in developing SaaS platforms with a keen understanding of security and systems design, as well as deep expertise in API Design, microservices, distributed schedulers, NoSQL and RDBMS data storage. This role is responsible for testing next-generation, modern production systems. Personal performance, reliability, and commitment to delivering quality software are all core values for this role. Experience with developing QA automation for Azure/AWS and hybrid solutions both for frontend & backend development is essential to being successful in this role.

• Collaborates with Product and Engineering stakeholders to design and build platform services that meet key product requirements
• Produces both high-level and detailed QA automation for platform-level services
• Authors clean, scalable, modular, secure, well-structured, and testable code
• Defines patterns and develops reusable components and libraries
• Designs and implements testing of microservices with thoughtfully defined API test plans
• Consistently delivers on Sprint commitments & agreed upon timelines by the team.
• Obsesses over QA automation
• Obsesses over CI/CD & DevOps
• Adheres to all industry best practices and standards for Agile/Scrum Frameworks adopted by the Organization including but not limited to daily stand-ups, grooming, planning, retrospectives, sprint reviews, demos, and analytics.
• Consistently delivers Quality code.

• Automation Testing Tools: IBM (RFT), HP UFT,
  Selenium, Katalon, TestNG, Cucumber and SOAPUI /Ready API,
  JMeter and Blazemeter, WebDriver, Java, JavaScript, Protractor,

• Test Management Tools: RTC, RQM, ALM, Clear Case, TM, GIT, SVN, JIRA, TFS, MTM

• Programming: JAVA, C#, JavaScript, HTML, XML, Python, groovy

• Database: SQL Server, Cosmos DB, MongoDB, Elastic

• Testing Method: Regression, Smoke, Functional/System, Integration and UAT Testing

• 5+ years of experience designing test plans, building, and deploying automated QA as a Full Stack QA engineer
• Ability to conceptualize end-to-end system components across a wide range of technologies and translate requirements into implementation
• Comfortable failing fast and working in a cross-disciplinary team environment
• A clear understanding of various types of QA testing
• Strong design and extensive implementation experience with C# and .NET core, JavaScript, ReactJS/Angular within a highly scalable production environment
• Experience with at least one RDBMS (MySQL, PostgreSQL, RDS, SQL Server, etc.)
• Experience with at least one document-oriented DB (MongoDB, CouchDB, etc.)
• Fluency with the full software development lifecycle using Agile methodologies
• Fluent English Speaker
• Fast Learner

• 5+ years of relevant experience as a Full Stack QA Engineer

• Develop Automation Test Script for Smoke Test, Integration Test & Load Testing
• Validate of Web Application with data driven framework by utilizing Selenium WebDriver, TestNG and Cucumber.
• Review and Analyze complex automation scripts and design, develop and maintain test automation frameworks to perform Regression Testing.
• Develop automation script to test API/Micro service through JMeter and Blaze meter and Postman.
• Review requirements specifications and technical design documents to develop automation and manual testing script.
• Develop Testing Plan by reading API specs written in OPEN API 3.0 specs & Swagger.
• Writing CURL & Postman to test APIs.
• Participate team meeting to discuss any issues/bugs and find out root cause identification.
• Work with Application Developers to resolve application acceptance criteria’s, defects and anomalies.

• Works with Leads and other stakeholders to define tasks and perform complex research spikes
• Performs planning necessary to ensure reliability, scalability, and viability of products