Senior Software Engineer

This opportunity is in the Saviynt Labs organization. We design, build and run the leading Enterprise Identity solutions. Our product teams innovate industry leading solutions. The engineering teams design, build and run SaaS software built on

leading edge technologies. We focus on engineering excellence and we attract the best talent in our industry. Our cloud services are built on AWS, GCP and Azure with a global presence. Our customers love what we do and work with us to build the future customer experience at scale.

What You Will Be Doing

·Participate in requirements analysis

·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

·5+ 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.