Senior ai

3 days ago

Davangere, India Engineersmind Full time

Role: Senior AI & Automation Engineer Location: Bengaluru (Hybrid) Experience :5+years Department: Quality Engineering & Product Assurance Company: Engineersmind About the Role We’re seeking a highly driven Senior Software Test Engineer who takes complete ownership of product quality —from concept to customer delivery. You’ll be responsible for end-to-end testing across web, mobile, and API layers, ensuring seamless integration, performance, and security. You will leverage AI-enabled testing tools to enhance test coverage, automate repetitive tasks, and proactively detect risks before production. This is a hands-on role that requires strong technical depth, problem-solving ability, and a product-centric mindset. Key Responsibilities Lead end-to-end testing for complex enterprise applications—UI, API, data, and integration layers. Own and drive the complete QA lifecycle , from planning to production release. Design, maintain, and execute automation frameworks using modern AI-based testing platforms (e.g., Testim, mabl, Functionize, Applitools, Katalon AI, Copilot for QA ). Conduct API testing with Postman, Ready API, or similar tools—validate performance, data flow, and system integrity. Perform security and vulnerability testing (OWASP, penetration, and data privacy validation). Work closely with development and Dev Ops teams for continuous testing integration (CI/CD) . Document test strategy, traceability, and evidence for compliance (SOC2, HIPAA, GDPR) . Bring insights to improve product reliability, client experience, and release velocity. Required Skills & Experience 5–10 years of QA / application testing experience with proven product ownership. Deep expertise in API testing, performance validation, and data integrity checks . Experience in security testing using tools like Burp Suite, OWASP ZAP, or similar. Hands-on with AI/ML-driven testing platforms or autonomous test generation tools. Familiarity with CI/CD pipelines (Git Hub Actions, Jenkins, or Azure Dev Ops) . Understanding of cloud environments (AWS, Azure, GCP) and microservices testing. Strong analytical, documentation, and communication skills. Bonus: exposure to Liferay DXP, or healthcare/finance systems .

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