Staff Software Engineer, AI Native Web Platform
Databricks · Mountain View, California · Integration, Data, Engineering and Applications · listed June 11, 2026
The shape of it
Seniority
Staff
Experience asked
3–12 years
Where
Not stated
Stated pay
$198,200 – $272,600 USD
Requirements listed
10
Length
789 words
In the posting’s own words
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.
What it asks for · 10
- 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
What the job covers
- 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.
Tools and skills named
Frameworks
- Node.js2×
- React
- REST
Cloud & infra
- CI/CD3×
Product & design
- Design systems2×
- Roadmap
Languages
- JavaScript
- TypeScript
Data
- Databricks
Models & research
- LLM
Ways of working
- Testing
Words the posting leans on
- ai-native8×
- technical8×
- engineering7×
- software5×
- systems5×
- web platform5×
- framework4×
- agentic3×
- design3×
- experience3×
- looks3×
- production3×
- standard3×
- technical leaders3×
- track record3×
- architectural decisions2×
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