Senior Principal Software Engineer, AI Onboarding

About the role

Saviynt is an identity platform designed to secure the digital workplace. As a founding member of the AI Security team, you will play a crucial role in securing AI and agents at scale.

Responsibilities

• Design, implement, test and release end-to-end 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, utilizing CUA agents, various LLMs, and 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
• 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 SWE in a SaaS company
• 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

Qualifications

• Master’s degree in Computer Science, Information Technology, or related field
• Passion for technology and a commitment to excellence
• Ability to work independently and as part of a team
• Strong communication and interpersonal skills
• Ability to manage multiple projects simultaneously

Skills

• Java
• Spring Framework
• REST
• Microservices
• AI and Agents
• Agentic frameworks
• Cloud platforms (AWS, Azure, Google Cloud)
• Containerization (Docker, Kubernetes)
• Data structures, algorithms, design patterns
• SQL, ElasticSearch, Redis
• CI/CD, AWS Glue, Kafka
• Git (GitHub/GitLab), automatic deployments, continuous integration
• IntelliJ, Eclipse/My Eclipse IDE, JUnit, Maven/Ant
• Amazon Q, Github Copilot, Cursor, AI development tools
• Variety of architectural patterns

Benefits

• Competitive salary
• Flexible work schedule
• Professional development opportunities
• Health and wellness programs
• Employee recognition and rewards
• Work-life balance initiatives

Pay

• Competitive salary based on experience and qualifications

Schedule

• Full-time position