Team Lead, Tech Quality Assurance

About us GALE is an amalgamation of consultancy and agency services, dedicated to addressing complex brand challenges with an integrated approach. Our headquarters is in New York, with additional offices in Toronto, Singapore, and Bangalore. We are bound by core values that guide our every action and approach to our work: values such as Everyone Matters, No Silos, and Masters of Our Craft.If you are driven by a passion for building something exceptional, an eagerness to innovate, and a dedication to achieving excellence in your craft, GALE is the ideal place for you to thrive.

About the Role -This role requires hands-on technical expertise along with the ability to drive QA excellence, explore emerging technologies, and influence quality practices across the organization. 

Key Responsibilities Leadership & Strategy - 

Drive QA R&D initiatives—continuously explore, evaluate, and introduce new tools, technologies, and testing approaches.

Promote and implement innovative automation and AI-driven testing practices.

Mentor and guide QA/SDET team members to strengthen technical and testing capabilities.

 Automation & Framework Ownership - 

Design and develop automation frameworks for UI, API, and performance testing.

Establish standardized, reusable baseline frameworks that can be adopted across GALE accounts. 

- 7+ years of experience in QA, automation, and test strategy with proven SDET competencies.

- Strong understanding of functional testing concepts, test design techniques, and defect lifecycle.

- Proficiency in at least one programming language — Python preferred (Java/JS acceptable).

- Strong hands-on experience with UI/functional automation using Selenium, Playwright, or Cypress.

- Ability to architect automation frameworks and set organization-wide automation standards.

- Hands-on experience with API automation using Postman/Newman, Karate, or RestAssured.

- Strong experience with performance testing (Locust, JMeter, or similar).

- Good working knowledge of SQL and database validation across relational databases.

- Conceptual understanding of AI/LLM models, with a keen interest in leveraging AI for QA acceleration.

- Ability to think strategically, challenge existing approaches, and drive continuous improvement in QA processes.