Principal Software Engineer, Application Access Governance

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 YOU WILL BE DOING: Participate in requirements analysis Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure Collaborate with internal teams to produce software design and architecture Develop state-of-the-art enterprise identity cloud solutions Test and deploy applications and systems Revise, update, refactor and debug code Ability to start a program from scratch as well as maintain existing services Develop documentation throughout the software development life cycle Serve as an expert on applications and provide technical support Follow the true agile principles WHAT YOU BRING: 1+ year of experience as a Principal Software Engineer with a SaaS company Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes) Hands on experience with SQL, ElasticSearch, Redis, CI/CD; Groovy on Grails (a plus) Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement Experience with unit, functional and system integration testing Extensive understanding of working in an agile environment utilizing Scrum and Kanban Experience with Git (GitHub/GitLab), automatic deployments, continuous integration Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants.