Senior Software Engineer (Java), Software Engineering
Saviynt
Software Engineering
Bengaluru, Karnataka, India
Posted on Feb 6, 2026
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: 6+ years of professional Java development experience.
- Technical Stack: Expertise in Spring Boot, RESTful API design, and implementation.
- Security & Resilience: Strong understanding and hands-on experience with security patterns, fault tolerance, and system resilience.
- Distributed Systems: Proven experience designing and building scalable distributed systems.
- Data Systems: Practical experience with MySQL database design and optimization.
- Messaging: Familiarity with RabbitMQ or similar message queuing systems.
- Problem Solving: Strong analytical and troubleshooting skills with a focus on root cause analysis.
- Experience with microservices architecture and containerization (Docker, Kubernetes).
- Knowledge of CI/CD pipelines and DevOps practices.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Experience with monitoring and observability tools.
- Background in identity and access management solutions.
