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
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
10+ years of software engineering experience
Expert-level ability utilizing technologies such as Java, Spring Framework,REST and Microservices
Strong Experience as a Java Engineer developing applications based onSecurity principles, cloud platforms (AWS, Azure, or Google Cloud) andContainerization (Docker, Kubernetes)
Hands on experience with SQL, ElasticSearch, Redis, CI/CD; Groovy onGrails (a plus)
Experience in increasing levels of responsibility managing applicationdevelopment, solution architecture, design and delivery, and processimprovement
Experience with unit, functional and system integration testing
Extensive understanding of working in an agile environment utilizingScrum and Kanban
Experience with Git (GitHub/GitLab), automatic deployments, continuousintegration
Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junittest cases, working with Maven/Ant
Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants.
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