Senior Quality Assurance Engineer Lead

6 - 10 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

You will be joining a VC-backed startup that focuses on enhancing the efficiency of Machine Learning model development processes. The team is made up of passionate individuals dedicated to improving the reliability, scalability, and speed of ML systems. **Role Overview:** As the QA Lead, you will be responsible for leading a team of 5+ QA engineers. Your primary role will involve working closely with the Engineering and Product teams to ensure the highest standards of product quality. This hands-on leadership position will require you to define QA processes, establish best practices, and drive test automation throughout the product lifecycle. **Key Responsibilities:** - Own end-to-end testing of data pipelines, dashboards, and platform features. - Set up and lead the QA function, defining best practices and test frameworks. - Design, manage, and review test plans, test cases, and automation scripts. - Champion test automation and performance/stress testing initiatives. - Mentor and groom junior QA engineers to enhance their technical and testing capabilities. - Collaborate with cross-functional teams to ensure smooth delivery and high-quality releases. **Requirements:** - 6+ years of overall QA experience with a focus on automation. - Hands-on experience with UNIX/Linux operating systems. - Strong knowledge of QA Automation and Performance/Stress Testing. - Proficiency in Python or equivalent scripting language for end-to-end automation. - Experience with AWS (preferred), GCP, or Azure. - Familiarity with Git, Maven, Jenkins, and CI/CD pipelines. - Experience working in an Agile/Scrum environment. - Deep understanding of the Software Development Lifecycle (SDLC) and best practices. - Excellent communication skills with the ability to articulate design and test strategies. - Exposure to databases such as MySQL and MongoDB. **Why Join:** - Opportunity to build and scale the QA function from the ground up. - Work on cutting-edge AI/ML infrastructure challenges. - Collaborative and growth-oriented startup environment. - Competitive compensation with ample growth opportunities. (Note: The additional details of the company were not present in the provided job description.),

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