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Senior Software Engineer (Java), Software Engineering

Saviynt · Bengaluru, Inde · Hybrid

  • Bureau à Bengaluru
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Description

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.