Job Description
Position Title: Technical Lead – Quality Engineering
Position Type: Full Time, Permanent
Department: Quality Engineering / Quality Assurance
Location: Hyderabad
Reports to: R&D Manager, India Development Centre.
This is a full-time, office-based position. Remote and hybrid work arrangements are not available for this role.
Company Overview:
Cglia is a software development company dedicated to building secure, highly available, cloud-based enterprise products that help accelerate research in drug discovery, medical devices, and treatments - ultimately improving global health and well-being.
At Cglia, we are passionate about creating innovative, intuitive software that exceeds customer expectations. We foster a culture of continuous learning, engineering excellence, and accountability where professionals grow into accomplished product builders.
Role Overview:
We are seeking an experienced Technical Lead – Quality Engineering to lead quality engineering across our enterprise software products. The role combines test automation and modern AI-assisted quality engineering with delivery leadership, mentoring, hiring participation, and performance input. You will work closely with Development, DevOps, Product Management, and the R&D Manager to build quality into the SSDLC and ensure reliable, secure, and scalable releases.
Key Responsibilities:
- Lead and mentor the Quality Engineering team, providing technical direction, delivery guidance, and performance input.
- Define and drive the quality engineering strategy, testing priorities, capacity needs, and release commitments for existing products, new features, and modernization initiatives.
- Define and continuously improve risk-based test strategies covering functional, integration, API, UI, database, performance, security, regression, and validation of AI/ML and Data Analytics capabilities.
- Maintain requirements traceability and appropriate test coverage for complex, configurable, workflow-driven applications.
- Lead the design and evolution of scalable automation frameworks and modern AI-assisted testing approaches, including test generation, intelligent regression selection, failure analysis, and automation maintenance where appropriate.
- Partner with Development and DevOps teams to integrate automated tests, AI-assisted quality workflows, and quality gates into CI/CD pipelines.
- Define release-readiness criteria and provide clear quality and risk assessments before production releases.
- Drive defect analysis, root-cause analysis, and corrective/preventive actions for recurring or escaped defects.
- Track meaningful quality metrics including automation coverage, regression cycle time, escaped defects, and defect recurrence.
- Promote shift-left testing, testability, TDD/BDD where appropriate, exploratory testing, and modern SSDLC quality engineering practices.
- Participate in hiring and technical evaluation of Quality Engineering/SDET candidates and provide input into team composition, skill gaps, performance, and development plans.
- Conduct automation code and framework reviews and mentor engineers in modern quality engineering, including responsible use of AI-assisted testing, coding, security, maintainability, and validation practices.
Required Qualifications & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software testing and quality engineering experience, including strong hands-on test automation and technical team leadership.
- Strong proficiency in modern automation frameworks such as Playwright, Selenium, Cypress, or equivalent, with Java and/or Python skills and exposure to AI-assisted/agentic testing approaches.
- Experience with API testing, SQL/database validation, and Angular/React front ends with Java/Spring back ends.
- Strong understanding of CI/CD concepts and tools such as Jenkins, GitLab CI, GitHub Actions, or equivalent.
- Strong understanding of performance, security, data integrity, reliability, test-data management, and traceability for enterprise SaaS products.
- Good understanding of TDD/BDD, risk-based and exploratory testing, shift-left testing, and modern SSDLC quality engineering practices, including appropriate use of AI-assisted testing.
- Experience testing configurable, form-intensive, workflow-driven enterprise applications is highly desirable.
- Strong problem-solving, communication, leadership, and decision-making skills, with experience mentoring engineers and contributing to hiring and people-development decisions.
We are looking for a Quality Engineering leader who combines strong automation fundamentals, modern AI-assisted testing approaches, and a passion for developing people and building quality into the product lifecycle.