Staff Software Engineer, AI Native Web Platform

Staff Software Engineer, AI Native Web Platform

Databricks – Mountain View, California

Cloud; Python

Job Description

Staff Software Engineer, AI‑Native Web Platform (Job ID: GAQ327R228)

About Us

The Web Platform team at Databricks builds and owns the public‑facing web experiences that represent Databricks worldwide. 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 a Staff Software Engineer on the Web Platform team, you will report to the Director of Engineering and own the platform layer that the rest of the team builds on—including 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. You will shape the north‑star architecture as the primary author, partner with technical leaders across web and marketing engineering, and set the standard for AI‑native platform engineering in practice.

The Impact You’ll Have

• Define the technical roadmap for the web platform, covering component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, all 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 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 AI‑native thinking and execution.

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 your team’s software systems.
• 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 (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.
• 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, platform‑level standards adoption at scale).

Pay Range Transparency

Pay Range (Zone 1): $198,200 – $272,600 USD. Full‑width range expected based on role level and location.

Benefits

At Databricks, we provide comprehensive benefits and perks that meet the needs of all employees. For details on benefits in your region, visit the benefits page.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Hiring practices are inclusive and meet equal‑employment‑opportunity standards. Candidates 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 job duties, Employer may, at its discretion, decline to proceed with an applicant on this basis alone.

Application Process

CVs are submitted directly to Databricks via CVFine.