Own and evolve the AI-native web platform (frameworks, design systems, CMS, CI/CD, infrastructure) at Databricks. Drive architectural decisions, pioneer agentic SDLC workflows, and mentor engineers. Requires 12+ years experience and 3+ years technical leadership.
198k – 273k
On-site12+ YOEFullstack Engineering
About the role
Responsibilities
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.
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.
Requirements
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.
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.
Nice-to-Haves
Familiarity with agentic systems or LLM-powered tooling.
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