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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 Staff Software Engineer job openings at Databricks in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, and 18% Remote job distribution.

Staff Software Engineer, AI Native Web Platform Mountain View, California

Databricks Inc.

Mountain View, CA • On-site

$198.20 - $272.60/hr

Other

Posted 7 days ago

Job description

Staff Software Engineer, AI Native Web Platform

Mountain View, California

Role Overview

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.
Pay Range Transparency

Zone 1 Pay Range: $198,200 — $272,600 USD

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed above and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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