Software Engineer in Test

Senior Software Engineer in Test. This role involves testing complex 3D CAD applications, APIs, AI-powered tools and user interfaces, as well as their integration with other systems. Why You’ll Love Working With Us - Cross-Functional Collaboration: Be part of a dynamic, multiregional development organization that utilizes a broad set of technologies and tools. You’ll have the opportunity to interact and share experiences with colleagues from various countries and cultures. - Diverse Testing Responsibilities: Our SQA team is responsible for testing multiple back-end applications, with a primary focus on a system which automatically implements text-based Doctors’ requests in digital treatment plans. You’ll engage in both automated and manual testing, develop test design, dataset management and support automation framework activities. - Flexible Methodologies: We use a mix of Waterfall for long-term planning and Scrum for short-term projects. Our automation frameworks, primarily Python-based (using pytest), run on both cloud (AWS) and on-premise infrastructure. Responsibilities - Design, execute test plans for our software and related APIs, conduct test case reviews. - Develop and maintain automated tests using our Python-based automation frameworks. - Validate AI-driven features and algorithms integrated into the application. - Prepare, manage, and curate datasets for AI model training and testing. - Analyze test results and work closely with developers to resolve issues. - Estimate testing scope, plan & monitor testing for projects. - Prepare test documentation (test strategy, test plans, RTM). - Work with bugs throughout their lifecycle. - Set-up CI for feature branches. - Support and optimize test regression. - Clarify use-cases with internal users. - Lead testing of team features through path-to-production flow. - Collaborate with cross-functional teams to ensure seamless integration of AI components. - Contribute to continuous improvement

of QA processes and tools. Requirements Skills, Knowledge & Expertise - Bachelor or a master’s degree in computer science or related. - 8 years of professional SQA experience. - 2+ years hands-on experience in test automation. - At least a year of experience as SQA in ML/AI area. - Excellent analytical skills and ability to write detailed test cases. - Desire to release product with good quality and ability to find defects. - Strong Python skills. - Experience in non-functional testing. - User experience with Git. - English: Upper intermediate. Nice to have - Familiar with generative AI techniques. - Familiar with C++. - SQL querying skills. - Experience with AWS. Applicant Privacy Policy Review our Applicant Privacy Policy for additional information. Equal Opportunity Statement Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire.

Description Align Technology Inc. is a global leader in the development of innovative medical technologies. The company is best known for its groundbreaking product, Invisalign-a device that enables people to achieve a perfect smile in a simple and aesthetic way, without traditional braces. Department: Clinical Location: EMEA-Spain Today, we are developing cutting-edge, technology-rich products such as the Invisalign system for teeth alignment and iTero scanners, helping dental professionals achieve optimal clinical outcomes and offer their patients advanced, effective treatment options. Our headquarters is located in Silicon Valley, USA. Since 2004, our Madrid R&D office has been focused on developing CAD applications for orthodontics. Working closely with colleagues in the United States (San Jose and Raleigh) and Costa Rica, our team is responsible for integration of next-generation AI-powered software for digital medical devices. We are expanding our QA department and looking for a