Karnataka, IND
24 days ago
Senior Software Quality Engineer, Machine Learning & AI
Senior Software Quality Engineer, Machine Learning & AI Job Category: Product Engineering Location: India - Karnataka - Bangalore **Meet Our Team:** The **Senior** **Software Quality Engineer in Test (SDET)** works with a team of onshore developers and Off-shore Product Manager to design and develop the best of breed software offerings for the CRM industry. The D&AI team combine their industry knowledge and Pega’s innovative technology to create products that will be used to solve business problems or inefficiencies for our customers. We are seeking experienced technical professionals who can demonstrate creativity, teamwork, a results-driven attitude, and a dedication to customer success. **Picture Yourself at Pega:** + A rapidly growing yet well-established business. + The world’s most innovative organizations as reference-able clients. + Analysts acclaimed technology leadership in a massive emerging market. + **Team that builds and develops the capabilities which tracks the features available for Customer Decision Hub which can be used by a Technical or a business persona.** **What You'll Do at Pega:** **UI Automation:** + Integrate automated tests into CI/CD pipelines to ensure continuous testing and feedback. + Collaborate with UX/UI designers to ensure the quality and consistency of user interfaces. + **_Playwright framework is a plus._** **API Testing:** + Design and implement automated tests for RESTful APIs, ensuring comprehensive test coverage. + Validate API functionality, reliability, performance, and security. + Use tools like Postman, JUnit, or similar frameworks to automate API testing processes. **JUnit Automation:** + Develop and maintain JUnit-based test suites for unit, integration, and regression testing. + Ensure that all automated tests are robust, reliable, and provide accurate results. + Work closely with developers to integrate JUnit tests into the development process. **Planning & Strategy Test:** + Develop test plans, strategies, and schedules for assigned projects. **Regression & Milestone test:** + Candidate to be able to perform regression and milestone tests for the complete features owned by the team. + Should also be able to keep updating the regression suites and enhancing the automation of the same. **Collaboration & Communication:** + Work closely with cross-functional teams, including developers, product managers, and business analysts, to understand project requirements and ensure quality. **Who You Are:** You are a Senior Software Quality Engineer who is skilled in **_both manual and automation testing_** and passionate about exploring and applying the latest cutting-edge technologies to maintain high quality of the product. + **_Around 4-6 years of software testing (SDET) experience._** + Agile/Scrum development methodology knowledge/experience. + **_Proficiency with testing tools like Selenium, Junit with Cucumber, karate framework, Playwright, or any similar framework._** + **_Strong understanding of object-oriented programming and design, continuous integration, and delivery (CI/CD)._** + **_Familiar with programming languages like Java, typescript, JS, python_** + Good to have basic knowledge on tools and libraries like Git, Gradle, Docker, Kubernetes, Jenkins, IntelliJ, JUnit, Groovy and similar. + **_Exposure to Machine Learning and AI domain will be an added advantage._** + Should be able to leverage Generative AI capabilities in the role. **What You've Accomplished:** + Successfully designed and implemented comprehensive test plans and strategies, covering functional, non-functional, regression, integration, and user acceptance testing (UAT). + Developed and deployed automated testing frameworks and scripts to streamline the testing process. + Identified, documented, and tracked software defects throughout the development lifecycle. + Worked closely with development teams, product managers, and other stakeholders to ensure quality was built into the software from the start. \#LI-MC3 **Pega Offers You:** + Gartner Analyst acclaimed technology leadership across our categories of products + Continuous learning and development opportunities + An innovative, inclusive, agile, flexible, and fun work environment + Competitive global benefits program inclusive of pay + bonus incentive, employee equity in the company Job ID: 21990 **AI in Action –** Pega embraces the power of artificial intelligence. We encourage all employees to actively engage with AI technologies and continually explore ways to responsibly integrate AI into our products and processes. **Culture –** At Pegasystems, we foster an environment where people feel valued and empowered to contribute their best. With global clients across industries and regions, we know our success depends on the unique perspectives, experiences, and talents of our people. Ours is a workplace where everyone can grow, collaborate, and deliver meaningful outcomes. We encourage candidates from all backgrounds and experiences and focus on the core competencies and mindset needed to thrive in a role. As an Equal Opportunity employer, Pegasystems will not discriminate in its employment practices due to an applicant's race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran or disability status, or any other category protected by law. **Export Compliance –** For positions requiring access to technical data subject to export control regulations such as this, Pegasystems may need to obtain export license approval from the U.S. Government and EU Authorities for certain individuals. **Accommodations –** If you require reasonable accommodations under the Americans with Disabilities Act (US only) or comparable regional regulations in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process,or contact (US only) 1-888-PEGA-NOW and/or 225 Wyman Street Waltham, MA 02451 ATTN: Benefits. It is Pega's policy to engage, recruit, hire, promote, train, discipline, and compensate in all job classifications, without regard to race, color, sex, religion, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other category protected by law. https://www.pega.com/about/careers/equal-employment-opportunity
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