QE Lead

About The Role :

Responsive is looking for a Quality Engineering (QE) Lead to drive end-to-end quality assurance and ensure the delivery of high-quality products.

You will lead the QE team, implement automation strategies, and enhance testing processes while collaborating with cross-functional teams in an Agile environment.

What You'll Be Doing :

1. Team Leadership & Strategy :

- Lead, mentor, and manage the QE team, setting goals and ensuring alignment with business objectives.

2. Test Planning & Execution :

- Define QE strategies, oversee test case design, manage test execution (functional, regression, non-functional, exploratory), and ensure risk-based coverage.

3. Automation & Performance Testing :

- Develop and maintain automation frameworks for functional, API, and performance testing (Playwright, Karate, JMeter).

- Drive test automation integration in CI/CD pipelines.

4. Defect Management & Process Improvement :

- Oversee defect tracking, conduct root cause analysis, and enhance testing processes using best practices.

5. Collaboration & Agile Practices :

- Work closely with product, development, and DevOps teams to establish quality goals, optimize testing strategies, and participate in Agile ceremonies.

Education :

What We're Looking For :

- Bachelor's degree in Computer Science, IT, or related field.

Experience :

- 8 - 12 years of experience in software quality engineering, with 1 - 2 years of leadership experience.

Skills, Qualifications & Ability :

- Strong hands-on experience in UI automation, API testing, performance testing, and quality engineering.

- Expertise in building and maintaining scalable test automation frameworks.

- Proficiency with Playwright, Karate, JMeter, Postman, and similar testing tools.

- Strong programming skills in TypeScript, JavaScript, or Python.

- Experience with BDD frameworks and best practices.

- Hands-on experience integrating automation with CI/CD pipelines (Jenkins, GitHub Actions, or similar).

- Experience working in Agile environments and cloud-based testing.

- Familiarity with test management, reporting dashboards, and quality metrics.

- Understanding of AI concepts, AI-powered applications, AI testing, evaluation methodologies, and RAG fundamentals.

- Experience using AI-assisted engineering tools such as Cursor AI, GitHub Copilot, or similar.

- Excellent communication, problem-solving, and stakeholder management skills.

- Experience with SaaS or B2B products is an added advantage