Software Engineers, Ai Security

18 hours ago

Bangalore Karnataka, India Saviynt Full time

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 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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