Databricks
New
USD 198200-272600/yr

Staff Software Engineer, AI-Native Web Platform

United StatesUnited States·Mountain Viewlead
OtherSoftware Engineer Ai
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Quick Summary

Overview

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.

Technical Tools
OtherSoftware Engineer Ai

Staff Software Engineer, AI-Native Web Platform

GAQ327R228

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.

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.

  • 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.
  • 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

 

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below 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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

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

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Location & Eligibility

Where is the job
Mountain View, United States
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

Posted
June 11, 2026
First seen
June 11, 2026
Last seen
June 11, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
June 11, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Databricks
Databricks
greenhouse

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.

Employees
3k+
Founded
2013
View company profile
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DatabricksStaff Software Engineer, AI-Native Web PlatformUSD 198200-272600