Saviynt - Software Engineer, AI Security
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Requirements
• 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. • 1-3 years of experience operating at a Staff / Principal engineering level • 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
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, 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. • 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!
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