Sr. Staff Software Engineer, AI-Native Web Platform (AI)

Location: Mountain View, California, United States

Salary: $198,200–$272,600 USD annually for Zone 1; total compensation may also include an annual performance bonus, equity, and benefits.

Company

Databricks is a Data and AI company providing a unified platform for data, analytics, AI applications, and agents to organizations worldwide.

What you will do

• Define the technical roadmap and north star architecture for an AI-native web platform, including component systems, rendering architecture, CMS, CI/CD pipelines, infrastructure, and developer tooling.
• Own the platform layer used by the web engineering organization and set standards for AI-native platform engineering.
• Apply agentic workflows across code generation, testing, code review, deployment, and production monitoring.
• Define evaluation frameworks, guardrails, and feedback loops for reliable, production-grade agentic workflows.
• Influence technical leaders across web and marketing engineering and drive alignment on shared architectural decisions.
• Mentor and grow engineers while leading technical transformation and platform-level standards adoption.

Requirements

• 12+ years of software engineering experience with a strong record of technical leadership and impact.
• 3+ years of engineering leadership experience as the technical owner for software systems owned by the team.
• Technical leadership and direct ownership of a web platform, including design systems, rendering frameworks, edge delivery, CI/CD, and infrastructure.
• Deep hands-on expertise across the full web stack, including React, TypeScript, and Node.js.
• Experience making and executing 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.
• Strong ability to influence technical leaders and align engineering and business stakeholders.
• Experience driving technical transformation with rigor and execution discipline, including stack consolidation or platform-level standards adoption at scale.

Nice to have

• Familiarity with agentic systems or LLM-powered tooling.

Culture & Benefits

• Comprehensive benefits and perks, with details varying by region.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
• Potential eligibility for an annual performance bonus, equity, and regional benefits.