Software Engineer, AI Security

Java Remote

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.

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.

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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