QSC is a global leader in full-stack AV solutions, delivering cutting-edge technology that transforms collaboration and physical experiences across corporate, education, hospitality, entertainment, and other markets. With a reputation for innovation, quality, and customer-first service, QSC is one of the fastest-growing companies in the industry, redefining how people interact with sound, video, and control technologies.

We are seeking a Software QA Lead to lead and scale our QA function within the Enterprise Technology team. This role is responsible for establishing a comprehensive quality strategy, building and mentoring a high-performing QA engineering team, and driving best-in-class testing practices across our enterprise applications and systems, including but not limited to Salesforce, Oracle, Aria, and Microsoft Azure-based services (data infrastructure, microservices, and more).

The ideal candidate will have proven experience utilizing Generative AI (GenAI) tools and techniques to accelerate and enhance software QA processes — such as intelligent test case generation, automated defect prediction, smarter test automation, and performance optimization — ensuring our QA function remains at the forefront of innovation.

This is a critical leadership role where you will influence how enterprise technology is delivered and ensure our platforms meet the highest standards of reliability, performance, and user satisfaction.

This roles is based out of Bengaluru, India

QA Leadership and Strategy

• Develop and execute a comprehensive QA vision and roadmap aligned with QSC’s enterprise technology goals.
• Define quality assurance standards, processes, and success metrics across all enterprise applications.
• Establish governance for QA methodologies including manual, automated, functional, regression, integration, and UAT testing.
• Integrate modern GenAI techniques into the QA lifecycle to automate, accelerate, and improve test creation, execution, and analysis.
• Partner with engineering, product management, and business stakeholders to embed quality early in the development lifecycle (“shift left”).
• Create documentation, templates, and standard operating procedures for consistent, repeatable QA practices.
• Regularly report quality metrics (defect leakage rates, test coverage, automation rates, etc.) to leadership.

End-to-End Testing and Test Automation

• Design, implement, and maintain a scalable, modular, and reusable automated testing framework for enterprise applications.
• Define test strategy, plans, cases, and scripts for end-to-end processes spanning multiple integrated systems (e.g., Salesforce to Oracle to Azure services).
• Develop and manage automated test pipelines that integrate with CI/CD systems (e.g., Azure DevOps, Jenkins).
• Utilize GenAI and machine learning approaches to optimize test coverage, prioritize risk areas, and predict defects early.
• Implement continuous testing practices to support frequent releases with high confidence.
• Identify opportunities to expand automation coverage, reduce manual testing effort, and improve time to market.

Application & System-Specific QA Oversight

• Lead functional, integration, regression, security, and performance testing for Salesforce CRM customizations, Oracle ERP modules, Aria billing solutions, and Azure-hosted services.
• Collaborate with system architects and development teams to deeply understand application architecture and define critical testing paths.
• Develop testing strategies specific to cloud-native applications and microservices, including API testing, data validation, and system interoperability.
• Manage testing efforts for third-party software upgrades, patches, and custom integrations across platforms.
• Ensure appropriate validation of data pipelines, ETL processes, and analytics systems hosted on Microsoft Azure.

Team Building and People Management

• Build and scale a high-performing QA engineering team with skills in both manual and automated testing.
• Define and own hiring plans, job descriptions, interview processes, and onboarding plans for new QA hires.
• Coach and mentor team members on technical skills, GenAI-driven testing innovations, career growth, and leadership competencies.
• Foster a collaborative, innovative, and psychologically safe team culture that values transparency, accountability, and continuous learning.
• Conduct regular performance reviews, provide constructive feedback, and recognize high performance.
• Create a culture of ownership, ensuring QA team members are deeply integrated with cross-functional scrum and project teams.

• 8+ years in software QA, quality engineering, or software testing leadership roles, preferably within enterprise technology environments.
• 3+ years directly managing or building QA teams in a fast-paced, agile organization.
• Strong hands-on experience with modern testing methodologies, automation frameworks, and tools (e.g., Selenium, Playwright, JUnit, TestNG).
• Proven expertise testing complex enterprise systems like Salesforce, Oracle, and cloud-native applications in Microsoft Azure.
• Demonstrated experience integrating Generative AI (GenAI) into QA workflows to improve efficiency, accuracy, and coverage.
• Experience with DevOps and CI/CD pipelines integrated with automated testing suites.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field; Master’s degree a plus.
• Expertise in test automation, API testing, performance testing, and security testing.
• Strong strategic thinking combined with hands-on technical execution skills.
• Exceptional leadership, communication, and cross-functional collaboration abilities.
• Experience working with global teams and enterprise stakeholders.
• ISTQB, CSTE, or other QA certifications are a plus.