Quality Engineer - Lead

Responsive; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Responsive, a leader in Strategic Response Management, is seeking a QE Lead to drive end-to-end quality assurance for SaaS products. You will lead the QE team, define testing strategies, and collaborate with product, development, and DevOps in an Agile environment to deliver high-quality software.

The role emphasizes automation, performance testing, and AI-assisted testing tools, with hands-on work in Playwright, Karate, JMeter, and CI/CD pipelines.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 8+ years in software quality engineering with 1-2 years in leadership.
• Strong automation and testing process improvement.

Responsibilities

• Lead, mentor, and manage the QE team, aligning with business objectives.
• Define QE strategies and oversee test design and execution (functional, regression, non-functional, exploratory).
• Develop and maintain automation frameworks; drive CI/CD integration.
• Oversee defect tracking and root cause analysis; improve testing processes.

Skills

UI automation

API testing

Performance testing

Test automation

Playwright

Karate

JMeter

TypeScript/JavaScript/Python

CI/CD

Agile

QA leadership

Education

Bachelor's degree in Computer Science/IT

Tools

Playwright

Karate

JMeter

Postman

Job description

About Responsive

Responsive, formerly RFPIO, is the market leader in a growing category of SaaS solutions called Strategic Response Management. More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom, are using the Responsive platform to manage business critical responses -including bids, questionnaires, assessments, and trust centers - that impact nearly half of a company's revenue. More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive, and the company has been voted "best in class" by G2 for 24 quarters straight. Customers have used Responsive to close more than $750B in transactions to-date. To learn more , visit responsive.io .

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.

Essential Functions

• Team Leadership & Strategy: Lead, mentor, and manage the QE team, setting goals and ensuring alignment with business objectives.
• Test Planning & Execution: Define QE strategies, oversee test case design, manage test execution (functional, regression, non-functional, exploratory), and ensure risk-based coverage.
• 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.
• Defect Management & Process Improvement: Oversee defect tracking, conduct root cause analysis, and enhance testing processes using best practices.
• Collaboration & Agile Practices: Work closely with product, development, and DevOps teams to establish quality goals, optimize testing strategies, and participate in Agile ceremonies.

Education

• Bachelor’s degree in Computer Science, IT, or related field.

Experience

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

Skills, Qualification, 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.