Software Development Engineer In Test

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

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 analyze 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.