Principal Software Engineer

Saviynt
Summary
Join Saviynt, an identity authority platform, as a Senior Principal Software Engineer to design, develop, and deploy secure, scalable, multi-tenant software solutions. You will collaborate with internal teams, test and deploy applications, and maintain existing services. This role requires expertise in Java, Spring Framework, REST, Microservices, and cloud platforms (AWS, Azure). You will also be responsible for developing documentation, providing technical support, and following agile principles. The ideal candidate will have 10+ years of software engineering experience and a strong understanding of security principles, containerization, and CI/CD. A competitive salary of $215,000 - $270,000 a year is offered.
Requirements
- 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 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
Responsibilities
- 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
Preferred Qualifications
Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants