About the Role
At Saviynt, we thrive in a fast-paced, pragmatic, and results-driven environment. We
are looking for a dynamic QE leader who sets high standards for personal and team
performance, quickly assesses situations, makes strategic recommendations to
executive leadership, and drives impactful changes to support the business.
The ideal candidate is a self-starter with a strong background in leading technical
teams and deep expertise in state-of-the-art tools and technologies that power
world-class QE and testing organizations. Exceptional leadership, communication
skills, and the ability to collaborate cross-functionally are essential for success in this
role.
WHAT WILL YOU BE DOING:
• Own the quality of deliverables across Saviynt’s product features.
• Lead multiple quality initiatives in close collaboration with development
managers.
• Knowledge of AI and modern AI tools and their usage.
• Good experience in API and Integration testing.
• Sound knowledge of SDLC and software testing methodologies.
• In-depth understanding of various software testing types, including
Functional Testing, Compatibility Testing, Usability Testing, GUI Performance
Testing, and Accessibility Testing.
• Ability to analyse business functions, identify, and derive comprehensive test
scenarios (positive, negative, regression, upgrade, UAT testing).
• Ability to understand database design and experience in writing SQL queries
for testing purposes.
• Recommend and implement tools and technologies to modernize and scale
automation and regression testing.
• Define, implement, and continuously improve Saviynt’s QE processes and
metrics, ensuring alignment with business and customer needs.
• Collaborate with Product Management to integrate quality early in the
development lifecycle.
• Partner with engineering managers to drive agile practices such as TDD,
BDD, and an “automation-first” testing strategy.
• Ensure QE is tightly integrated into the CI/CD pipeline to maintain industry-
leading product quality.
WHAT YOU BRING:
teams.
Kubernetes, Git) and code coverage tools like Sonar.
testing/analysis tools.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)