Software Quality Engineer responsible for quality of Elo's payment solutions. Involves manual and automated testing processes, collaborating with engineering and product teams.
Responsibilities
As a Software Quality Engineer – Payment Solutions, you will take ownership of the functionality, reliability, and quality of Elo's payment software systems
You will play a vital role in both manual and automated testing processes while supporting our growing need for L3 testing, automation, and certification acceleration
Own quality control procedures for Elo’s payment software solutions, including new feature validation and regression
Lead and execute L3 Certification Testing, increasing our capacity to handle concurrent L3 projects which will help accelerate certifications
Work as a Pay App QA Engineer, collaborating with engineering and product teams on app changes needed for processor or customer requirements
Develop and maintain automated test scripts to increase test efficiency and coverage
Utilize tools such as Testing Robots to improve the speed and reliability of L3 testing
Ensure test coverage across a wide range of scenarios, including processor-specific and compliance-driven use cases
Document and track defects, working with developers on resolution and verification
Communicate clearly across product, engineering, and QA teams regarding test progress, risks, and issues
Continuously improve QA processes and promote best practices in automation, documentation, and Agile execution
Work closely with onshore and offshore development and quality engineering teams to define and create test plans, test strategies, test cases, and scripts, and manage defects
Requirements
Bachelor’s degree in engineering from an accredited institution
Minimum 4+ years of software QA experience
Hands-on experience in payment card industry and related domain testing
Experience in L3 certification processes and payment app testing
Familiarity with Testing Robots or similar tools used in payment certification testing
Scripting knowledge in Python, Perl, or equivalent for automation development
Strong knowledge of QA methodologies, SDLC, and Agile frameworks
Ability to diagnose, troubleshoot, and communicate application defects effectively
Experience with SaaS platforms and web-based application environments
Excellent problem-solving, risk analysis, and technical writing skills
Proactive mindset and comfort working in a dynamic Scrum team setting
Strong documentation capabilities necessary for documenting processes and procedures
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