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Staff Software Engineer, AI Native Web Platform

Mountain View, California💼 Full-time💰 $198,200–$198,200🗓 2026-06-11 → 2026-07-31

Core

Designing and owning the AI-native web platform layer, including web frameworks, design systems, CMS, and infrastructure for Databricks' public-facing experiences.

Role type

Staff Software Engineer (AI-Native Web Platform)

Builds

Web framework, design system, CMS, infrastructure, CI/CD pipelines, and AI-enabled translation tools for Databricks.

Domain

Data & AI / Web Platform Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Technical leadership, web platform ownership, design systems, rendering frameworks, edge delivery, CI/CD, React, TypeScript, Node.js, multi-layer architectural decision-making, frontend framework migration, AI-native software development.

Preferred skills

Agentic systems, LLM-powered tooling.

Responsibilities

Define technical roadmap for web platform components and architecture; influence technical leaders on shared architectural decisions; pioneer AI-native SDLC with agentic unlocks; define evaluation frameworks for agentic workflows; mentor engineers on AI-native execution.

Seniority

Staff, technical leadership & strategy

Rewrite
## Staff Software Engineer, AI Native Web Platform GAQ327R228 ## About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. ## The Role: As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. ## The impact you’ll have: - Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. - Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks. - Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring. - Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade. - Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. ## What we look for: - 12+ years of software engineering experience, with a strong track record of technical leadership and impact. - 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. - Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure - Deep hands-on expertise across the full web stack like React, TypeScript, 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 and 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: stack consolidation, or platform-level standards adoption at scale ## Benefits: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
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