Saviynt-posted 3 months ago
$245,000 - $255,000/Yr
Full-time • Principal
El Segundo, CA
1,001-5,000 employees

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.

  • Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure
  • Lead the design and implementation of highly complex, secure, and scalable multi-tenant architectures across cloud platforms
  • Act as a technical expert and thought leader, influencing product direction and engineering best practices
  • Drive continuous improvement in engineering processes, tooling, and operational reliability
  • 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
  • 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)
  • Deep understanding of data structures, algorithms, and design patterns
  • Hands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
  • Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement
  • Experience with Git (GitHub/GitLab), automatic deployments, continuous integration
  • Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants
  • Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs
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