Senior Staff Software Engineer, ForgeRock

• 8–10 years of software development experience with full-stack JavaScript
• Strong proficiency in JavaScript/ES6/TypeScript, including expertise in Node.js and Express.js
• Expertise in either Vue.js or React
• Familiarity with data visualization tools and libraries, including Canvas, D3, and SVG approaches
• Solid understanding of web security principles (authentication headers, JWT, scopes, cookies)
• Experience developing unit and end-to-end tests with Chai, Mocha, Sinon, IstanbulJS, and Cypress
• Proficiency in documenting REST APIs following OpenAPI specifications
• Experience with AI agent development, LLM integrations, and RAG-based architectures using vector stores
• Knowledge of MCP server development and integration with modern AI and application frameworks
• Bachelor’s degree in Computer Science or a related field

Desirable

• Join the forefront of data innovation as a Senior Staff Software Engineer on our Data Platform team
• In this role, you’ll leverage your expertise in JavaScript/ES6/TypeScript and Node.js to enhance and scale our data platform, ensuring it remains reliable, secure, and built for growth
• Your experience with frameworks like Vue.js or React will help create intuitive user interfaces, while your skills in data visualization and security best practices will strengthen the platform’s integrity
• You’ll collaborate closely with cross-functional teams to design and deliver cloud-native services that unlock advanced data analysis and insights
• By doing so, you’ll play a pivotal role in empowering data-driven decision-making and driving transformative growth across the organization
• Evaluate use cases for agentic frameworks and collaborate with stakeholders to rapidly prototype scenarios for Ping Identity’s Helix AI platform
• Build data analysis and visualization tools across both backend and frontend
• Design clear abstractions and API specifications for implementing new features
• Develop cloud-native services, addressing deployment considerations such as load balancing, monitoring, metrics, logging, and tracing
• Craft efficient unit and integration tests to automate quality assurance and streamline the release process
• Create modular code with a focus on readability, security, and efficient dependency management
• Develop AI agents leveraging large language models (e.g., OpenAI, Gemini) and integrate them into Helix AI workflows
• Implement Retrieval-Augmented Generation (RAG) pipelines with vector stores to support knowledge-driven AI applications
• Build and extend MCP servers for AI agent orchestration and integration with existing frameworks