Sr. Staff Software Engineer, AI Native Web Platform

Databricks Inc.; Mountain View (CA); On-site; USD 198,000 - 273,000; Full time

Job summary

Databricks Inc. in Mountain View, CA, seeks a Sr. Staff Software Engineer for the AI-Native Web Platform to own the platform layer—web framework, design system, CMS, and AI-enabled tooling. You will lead technical decisions, drive platform adoption, and shape the AI-native SDLC across teams.

You will collaborate with engineering and marketing leaders, influence architectural choices, and mentor engineers to raise the bar for AI-native platform engineering at scale.

Qualifications

• 12+ years of software engineering experience with a strong track record of technical leadership and impact.
• 3+ years of engineering leadership experience, owning software systems end-to-end.
• Proven track record as a technical leader of a web platform with ownership of design systems, rendering frameworks, edge delivery, CI/CD and infrastructure.
• Deep hands‑on expertise across the full web stack (React, TypeScript, Node.js).
• Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform.
• Experience sequencing frontend framework migrations without production disruption.
• Clear perspective 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 stakeholders.
• History of driving technical transformation with rigor and execution discipline.

Responsibilities

• Define the technical roadmap for the web platform: components, rendering, CMS, CI/CD, and developer tooling, AI-native from the start.
• Influence organization-wide architectural decisions and contribute to the AI-native engineering north star.
• Pioneer an AI-native SDLC with agentic unlocks across code generation, testing, review, deployment, and production monitoring.
• Define evaluation frameworks, guardrails, and feedback loops for reliable agentic workflows.
• Mentor and grow engineers, setting the standard for AI-native thinking and execution.

Skills

Leadership & Strategy

Web Platform Leadership

Architectural Decisions

Mentoring Engineers

Cross-functional Collaboration

AI-native Software Development

Production/Incident Mgmt

Tools

React

TypeScript

Node.js

Job description

Sr. Staff Software Engineer, AI Native Web Platform

Mountain View, California

Sr. Staff Software Engineer, AI-Native Web Platform

P-1579

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 Sr. 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

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

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Databricks’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.