Saviynt
Principal Software Engineer, AI Onboarding
Milpitas, California · Principal
Sponsorship not specified$240k-$250kDetected 75 days ago
JavaSpringData StructuresAlgorithmsGitSQLRedisElasticsearchAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTKafkaLLMsCybersecurityIncident ResponseAgileSalesforceAccount ManagementProcess Improvement
About the role
- Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI.
- Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions.
- For more information, please visit www.saviynt.com.
Requirements
- Experience with unit, functional and system integration testing
- 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
Nice to have
- Use AI and Agents to secure AI, using CUA agents, various LLM's, agentic frameworks like ADK, Langchain among others.
- Act as a technical expert and thought leader, influencing product direction and engineering best practices.
- Test and deploy applications and systems
- Revise, update, refactor and debug code
- Follow the true agile principles
- 1+ year of experience as a Principal Software Engineer
- Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices
- Familiar with AI tools and curious about MCP, A2A, Agentic frameworks.
Compensation
- If required for this role, you will: - Complete security & privacy literacy and awareness training during onboarding and annually thereafter - Review (initially and annually thereafter), understand, and adhere to Information Security/Privac
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This listing is sourced directly from Saviynt's careers page and normalized into a canonical job model.