**Role & seniority: ** Software Quality Lead / Quality Engineering Lead (8+ years); leads QA/QE strategy and team.

**Stack/tools: ** Salesforce; web; iOS/Android mobile; APIs; enterprise integrations.

Automation/testing tools: Selenium, Cypress, Appium, OpKey (or equivalent).

Tech: SQL; CI/CD integration; Agile/DevOps/SDLC.

AI for testing: AI-assisted test generation, test-data creation, intelligent regression selection, defect analysis, test maintenance, risk identification; evaluate genAI/AI-agent approaches.

**Top 3 responsibilities: **

Define and drive end-to-end QA/Quality Engineering strategy across Salesforce, web, mobile, APIs, and integrations.
Lead functional, integration, regression, API, mobile, performance, and E2E testing; set quality gates and release criteria.
Design/scale automation frameworks and integrate into CI/CD; drive shift-left and continuous improvement using quality metrics and root-cause analysis.

Must-have skills:
- 8+ years in Software QA/QE with leadership responsibility
- Salesforce testing + enterprise integration testing
- Web + iOS/Android mobile testing experience
- Hands-on test automation; API testing; CI/CD; SQL
- Framework/tooling experience (Selenium/Cypress/Appium/OpKey or equivalent)
- Risk-based testing, quality metrics, Agile/DevOps/SDLC
- Practical AI/genAI application to testing; strong communication and stakeholder management
Nice-to-haves:
- Deeper experience with AI-age

Full Description

Role Overview: We are looking for a Software Quality Lead with 8+ years of experience to lead Quality Engineering across Salesforce, web, mobile, APIs, and enterprise integrations. The role will own the quality strategy, automation, testing standards, and continuous improvement across the application landscape.

Location: Gurgaon/Bangalore

Key Responsibilities Define and drive the end-to-end QA/Quality Engineering strategy across Salesforce, web and mobile applications. Lead functional, integration, regression, API, mobile, performance, and end-to-end testing. Design and scale test automation frameworks and integrate them into CI/CD pipelines. Establish quality gates, release criteria, metrics, and risk-based testing practices. Drive shift-left testing and promote quality ownership across Product, Engineering, DevOps, and Salesforce teams. Lead the adoption of AI in testing, including AI-assisted test generation, test-data creation, intelligent regression selection, defect analysis, test maintenance, and risk identification. Evaluate emerging Generative AI and AI-agent-based testing approaches to improve test coverage, speed, and efficiency. Monitor quality metrics, analyze defect trends, conduct root-cause analysis, and drive continuous improvement. Mentor QA/QE engineers and provide technical and strategic leadership. Communicate quality risks, release readiness, and recommendations to senior stakeholders.

Required Skills & Experience 8+ years of experience in Software QA / Quality Engineering, including leadership responsibilities. Strong experience with Salesforce application testing and enterprise integrations. Proven experience in web and iOS/Android mobile application testing. Strong hands-on experience with test automation, API testing, SQL, and CI/CD. Experience with tools/frameworks such as Selenium, OpKey, Cypress, Appium, or equivalent. Strong understanding of Agile, DevOps, SDLC, risk-based testing, and quality metrics. Practical experience applying AI/Generative AI to software testing and QA. Strong leadership, communication, stakeholder management, and problem-solving skills.

Ideal Candidate: A quality engineering professional who can combines technical depth, leadership, automation, Salesforce expertise, and AI-driven testing practices to build a modern, scalable, and proactive quality culture.

Senior Quality Assurance Specialist

Full Description