Principal Software Engineer, Application Access Governance

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.

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

1-3+ 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 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.