Principal Software Engineer, AI Onboarding

3 мес. назад

240k–250k USD / yearUSALeadHybrid

aiidentity managementsecuritycloud

Lead development in AI onboarding for identity security platform at .

'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 to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, is today helping organizations safely accelerate their deployment and usage of AI. 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 . 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

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 
Follow the true agile principles

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. 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