• 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.

• Build and deploy AI agents that automate customer escalation workflows — reducing resolution times and improving engineering efficiency.
• Integrate agentic capabilities into identity platforms, translating customer needs into engineering roadmap contributions.
• Drive innovation at the intersection of AI, Identity Governance (IGA), and cybersecurity — helping enterprises govern Non-Human Identities and agentic workflows.
• Serve as a technical liaison between Customer Support, Customer Success, Sales Engineering, and Product — bridging the gap between customer pain points and scalable solutions.
• Engage directly on customer calls to represent Engineering and, where needed, prepare Engineering executives ahead of escalations.
• Identify and champion tooling improvements — proposing new troubleshooting and performance analysis tools that raise the bar for the wider engineering org.
• Track and report on escalation metrics, providing executive-level summaries and holding teams accountable to resolution timelines.
• Help the CE team navigate competing priorities and align on strategies that move the needle for the business.

• 10+ years of software engineering experience, with 8+ years in customer-facing or customer engineering roles.
• Proven experience in large-scale, multi-tenant production environments.
• Curiosity and fluency across modern AI tooling — MCP, A2A protocols, agentic frameworks — and a mindset for continuous learning in uncharted territory.
• Hands-on experience with AI-assisted SDLC tools (Amazon Q, GitHub Copilot, Cursor, Claude, or similar).
• Strong command of testing practices — unit, functional, and system integration — and agile methodologies (Scrum and Kanban).
• Solid experience with Git, CI/CD pipelines, and automated deployments.
• Deep understanding of APIs, enterprise integrations, and distributed systems.
• Outstanding communication skills — equally comfortable in an engineering deep-dive and a customer executive briefing.
• Experience in Identity & Access Management (IAM / IGA) strongly preferred; familiarity with Zero Trust, PAM, or governance frameworks is a meaningful plus.