The Staff Software Engineer role on the Web Platform team at Databricks involves leading the development of an AI-native web platform from the ground up. This position requires collaboration with technical leaders across web and marketing engineering to define the architecture and set standards for AI-native platform engineering. The engineer will also mentor team members and influence architectural decisions across the organization. This is a unique opportunity to shape the future of web platform engineering in an AI-driven environment.

• 12+ years of software engineering experience with a strong track record of technical leadership and impact.
• 3+ years of engineering leadership experience as the technical owner for software systems.
• Proven track record as a technical leader of a web platform with direct ownership across design systems and rendering frameworks.
• Deep hands-on expertise across the full web stack including React, TypeScript, and Node.js.
• Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform.
• Experience sequencing and executing frontend framework migrations without disrupting production.
• A clear point of view on AI-native software development with a track record of building toward it.
• Familiarity with agentic systems or LLM-powered tooling is a strong plus.
• Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders.
• History of driving technical transformation with rigor and execution discipline.

• Define the technical roadmap for the web platform including component systems and developer tooling.
• Influence technical leaders on shared architectural decisions and contribute to the broader north star for AI-native engineering.
• Pioneer an AI-native SDLC by applying agentic unlocks across various development processes.
• Define evaluation frameworks, guardrails, and feedback loops for reliable and production-grade workflows.
• Mentor and grow engineers on the team, setting standards for AI-native thinking and execution.