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60 Databricks Director Of Engineering Jobs Hiring Near You

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Director, Field Engineering

Toronto, ON

We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth ... of business needs and revenue potential for accounts in the assigned region * Build Databricks ...

Databricks

$182K - $234K/yr

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What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.

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Infographic showing various Director Of Engineering job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Staff Software Engineer, AI Native Web Platform

Databricks

Mountain View, CA

Full-time

Re-posted 26 days ago

Job description

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

Apply