Staff Software Engineer, AI Native Web Platform

Databricks Databricks · Data AI · Mountain View, CA · Integration, Data, Engineering and Applications

Staff Software Engineer to own the platform layer for an AI-native web platform, including web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. The role involves defining the technical roadmap, influencing architectural decisions, pioneering an AI-native SDLC with agentic unlocks, and defining evaluation frameworks and guardrails for agentic workflows.

What you'd actually do

  1. 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.
  2. Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.
  3. Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.
  4. Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.
  5. Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.

Skills

Required

  • 12+ years of software engineering experience
  • strong track record of technical leadership and impact
  • 3+ years of engineering leadership experience
  • technical owner for the software systems owned by your team
  • Proven track record as a technical leader of a web platform
  • direct ownership across design systems, rendering frameworks
  • 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

Nice to have

  • 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

What the JD emphasized

  • AI-native from the start
  • agentic SDLC
  • agentic unlocks
  • evaluation frameworks
  • guardrails
  • AI-native software development

Other signals

  • AI-native web platform
  • agentic SDLC
  • designing a web platform for an AI-native world from the ground up
  • pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring