Principal Software Engineer, AI Onboarding

About the role

Saviynt is seeking a Principal Software Engineer to join our growing AI Security team. The ideal candidate will have expertise in Java, Spring Framework, REST, and Microservices, as well as experience with AI tools and frameworks.

Responsibilities

• 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
• Use cloud, SAAS and AI design patterns and technologies
• Secure AI using CUA agents, various LLM’s, and agentic frameworks like ADK, Langchain
• 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
• Develop documentation throughout the software development life cycle
• Serve as an expert on applications and provide technical support
• Follow the true agile principles

Requirements

• 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
• Continuous learning mindset and willingness to explore new territories
• 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
• 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

Qualifications

• Complete security & privacy literacy and awareness training during onboarding 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

Skills

• Java
• Spring Framework
• REST
• Microservices
• AI tools and frameworks
• Agentic frameworks
• Data structures, algorithms, and design patterns
• SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
• Containerization (Docker, Kubernetes)
• Unit, functional, and system integration testing
• Git (GitHub/GitLab), automatic deployments, continuous integration
• IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant
• Amazon Q, Github Copilot, Cursor, and similar productivity assistants
• Variety of architectural patterns (e.g., event-driven, microservices, serverless)

Benefits

• Tremendous growth and learning opportunities
• Dynamic and supportive work environment
• Equal opportunity employer

Pay

Competitive salary and benefits package

Schedule

Full-time position