Quality engineering leadership: Lead the QE strategy and drive end-to-end test automation across web, API, mobile, cloud, and AI-powered applications
Automation framework development: Design, build, and maintain scalable automation frameworks using Playwright, Selenium, Cypress, and modern testing tools
API and microservices validation: Build robust testing solutions using Rest Assured, Postman, contract testing, and service virtualization techniques
Engineering standards: Establish automation best practices, coding standards, quality gates, and CI/CD testing integrations
AI/GenAI validation: Develop validation frameworks for LLM response quality, accuracy, consistency, reliability, and responsible AI guardrails
Data integrity: Perform backend and database validation to ensure accuracy and consistency across distributed systems
Cross-functional collaboration: Partner with Product, Architecture, Engineering, and DevOps teams to define quality strategy and release readiness criteria
Shift-left quality: Drive adoption of shift-left testing, continuous testing, and automated regression practices across Agile teams
Technical mentorship: Mentor QE engineers, conduct code reviews, and provide technical leadership on quality engineering initiatives
Quality metrics: Measure and improve automation coverage, regression efficiency, release quality, and overall engineering productivity
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so