Principal Software Engineer, AI Onboarding

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. 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. Saviynt is an identity platform built to power and protect the world at work. With the rise of AI and Agents, the identity perimeter needs to be secured at scale. Come join as founding members of Saviynt’s AI Security team and enable us to build out AI security for the world's leading enterprises. 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. 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/Privacy Policies and Procedures such as (but not limited to): > Data Classification, Retention & Handling Policy > Incident Response Policy/Procedures > Business Continuity/Disaster Recovery Policy/Procedures > Mobile Device Policy > Account Management Policy > Access Control Policy > Personnel Security Policy > Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. WHAT YOU WILL BE DOING Design, implement, test and release e2e workflows for our AI security product Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies. Use AI and Agents to secure AI, using CUA agents, various LLM’s , agentic frameworks like ADK, Langchain among others. Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure 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 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 10+ years of software engineering experience Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices Familiar with AI tools and curious about MCP, A2A, Agentic frameworks. Have a continuous learning mindset and not hesitate to venture into unchartered territory. Ability to perform research and go deep into platforms is a strong plus. 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 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. Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs

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