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Staff Software Engineer, AI Native Web Platform

Databricks · Mountain View, California

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Do anúncio da empresa · Databricks · publicado em 21 de setembro de 2026

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.
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Habilidades mencionadas

Databricks, Inc.

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