Back
Mid-level SDET in Bangalore with moderate brand and broad QA skillset increases competition.
Core QA skills are broadly transferable, but AI-assisted testing focus raises domain specificity.
Mandatory 5–7 years plus specific SDET languages, frameworks, and AI-testing tools increases filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead adoption of AI-powered testing tools to improve test design, execution, maintenance, and defect analysis.
Develop and maintain AI-augmented test automation frameworks for Web, Desktop, and Mobile platforms across UI, API, integration, and performance testing.
Analyze and address customer-reported defects and system failures using AI-driven log and anomaly detection and maintain CI/CD pipeline stability.
5-7 years of experience in SDET or quality engineering roles with exposure to AI-assisted testing or tooling.
Bachelor's degree in Computer Science, Computer Engineering, or related field.
Proficiency in Java, Python, and/or JavaScript/TypeScript; hands-on experience with Playwright or Selenium for UI and API testing.
Mandatory onsite work location: Bangalore.
Experienced in integrating AI/ML tools like GitHub Copilot, Claude, or ChatGPT into test automation and defect analysis processes.
Skilled in applying AI-driven techniques for self-healing test frameworks, AI-assisted anomaly detection, and intelligent test case generation.
Strong technical leadership in quality engineering with the ability to critically evaluate and own AI-generated testing outputs across agile, CI/CD environments.