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Scalable Systems is a USA-based Big Data, Analytics, and Digital Transformation Company focused on vertical, innovative solutions. By providing next-generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence, and gain an innovative edge.
Years of Experience: +5 years
Required Technologies: Tosca Data Integrity/ Tricentis qTest/ SQL (SQL Server/Oracle DB)/ BI, ELT/ETL/ DW/DM/ QA Practice Concepts/ Agile
Required Languages: English - Advanced
Overview of the Role: As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovative engineering practices. We’re currently seeking a QA AI/ML to serve as a key member of our quality assurance team. We’re looking for someone who is a self-starter with experience building automation from the ground up. This role will work within the Agile framework of continuous delivery. A successful team member will not only possess the technical skills required to build automation scripts, they will also use their passion to work collaboratively and participate in nurturing the growth of the QA team.
Ways You’ll Contribute
● Experience with testing components and testing them in various resolutions.
● Experience in automated and manual testing in Azure environments, particularly for AI/ML applications.
● Implement and document best practices for test automation and assist the development teams in improving code quality
● Ability to translate product requirements into test plans and test cases for test execution. Prioritizing what needs to be automated.
● Experience in testing cloud-based AI/ML solutions.
● Work closely with product managers and engineering team to release high quality applications
What You’ll Bring
● BS/BA in Computer Science or a related degree.
● Excellent knowledge of software application testing and best practices.
● Ability to create test plans, strategies and identify roadblocks during sprints.
● Cross teams communication with engineering, product, and client success.
