server-side-rendering jobs in San Diego

Staff Software Engineer on the AI Experience Framework (AIUX) team, responsible for full-stack architectural decisions in a JavaScript/component-driven environment powering ServiceNow's AI-first user interfaces. You will own code from design through delivery, architect modular reusable component systems, set framework-level technical direction for AI integration and state management, and serve as an escalation point for production issues across multiple teams.…See more The role requires 8+ years of OO language experience (Java, C++, C#, Go), advanced expertise in modern UI frameworks (React, Angular, Vue, Lit), relational databases, and data structures/algorithms/design patterns at scale.

Staff Software Engineer role owning full-stack architecture for ServiceNow's AI Experience Framework (AIUX), building modular Lit-based web components that power conversation-first applications. Responsible for end-to-end code delivery from design through production, setting technical direction for framework-level APIs, and serving as an escalation point for production issues across multiple teams.…See more Requires 8+ years of OO language experience (Java, C++, C#, Go), advanced JavaScript/modern UI framework expertise (Angular, React, Vue, Lit), and deep knowledge of data structures, algorithms, design patterns, and performance optimization. Expected to mentor colleagues, coordinate cross-org architecture decisions, and architect scalable component systems for extensibility.

Lead a team of full-stack software engineers building ServiceNow's AI Experience Framework (AIUX) — a platform delivering AI-first, conversation-first user interfaces through modular Lit-based web components. You'll manage product development, set technical direction for framework-level APIs, guide architecture decisions across the request path, and represent AIUX in cross-org discussions.…See more The role requires deep expertise in JavaScript and Java/C++/C#/Go, 10+ years of relevant technology experience, 5+ years managing core engineering teams, and the ability to solve complex problems spanning AI integration, performance at scale, and multi-team coordination.