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.
Saviynt is an identity authority platform built to power and protect the world at work. In a world of digital transformation, where organizations are faced with increasing cyber risk but cannot afford defensive measures to slow down progress, Saviynt’s Enterprise Identity Cloud gives customers unparalleled visibility, control and intelligence to better defend against threats while empowering users with right-time, right-level access to the digital technologies and tools they need to do their best work.
WHAT YOU WILL BE DOING
Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and AzureLead the design and implementation of highly complex, secure, and scalable multi-tenant architectures across cloud platformsAct as a technical expert and thought leader, influencing product direction and engineering best practicesDrive continuous improvement in engineering processes, tooling, and operational reliabilityCollaborate with internal teams to produce software design and architectureDevelop state-of-the-art enterprise identity cloud solutionsTest and deploy applications and systemsRevise, update, refactor and debug codeAbility to start a program from scratch as well as maintain existing servicesDevelop documentation throughout the software development life cycleServe as an expert on applications and provide technical support
WHAT YOU BRING
10+ years of software engineering experienceExpert-level ability utilizing technologies such as Java, Spring Framework, REST and MicroservicesStrong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes)Deep understanding of data structures, algorithms, and design patternsHands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, KafkaExperience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvementExperience with Git (GitHub/GitLab), automatic deployments, continuous integrationExperience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistantsFamiliarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs
