Principal Software Engineer

Saviynt is a leading provider of Cloud Security and Identity Governance solutions. Saviynt enables enterprises to secure applications, data, and infrastructure in a single platform for Cloud (Office 365, AWS, Azure, Salesforce, Workday) and Enterprise (SAP, Oracle EBS). Saviynt is pioneering Identity Governance Administration by integrating advanced risk analytics and intelligence with fine-grained privilege management.

WHAT YOU WILL DOING

• Platform Architecture: Design, develop, and enhance shared Java-based frameworks that serve as the foundation for all product development teams

• System Reliability: Improve platform stability, scalability, and fault tolerance across distributed systems

• Innovation Leadership: Contribute to AI/agent-enablement hooks at the foundation layer to support next-generation capabilities

• AI/Agent Integration: Guide AI/agent framework integration and extensibility at the platform foundation layer

• Technical Mentorship: Guide and mentor engineering teams while establishing and enforcing engineering best practices

• Operational Excellence: Proactively identify and resolve potential system issues to minimize operational incidents

• Cross-team Collaboration: Work closely with product scrum teams to ensure framework adoption and effectiveness

WHAT YOU BRING

• Experience: 10+ years of professional Java development and platform engineering experience

• Distributed Systems: Deep expertise in designing and implementing large-scale distributed systems

• Security Expertise: Strong background in enterprise security patterns, authentication, and authorization frameworks

• Framework Design: Proven experience designing and building frameworks used by multiple development teams

• Technical Leadership: Demonstrated ability to lead technical initiatives and influence engineering decisions

• Communication: Strong stakeholder communication skills with ability to translate technical concepts to business stakeholders

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.