Staff Software Engineer, AI-Native Web Platform
Databricks3 months ago
Base Salary
$198k - $273k/yr
Responsibilities
- Define the technical roadmap for the web platform, including component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling.
- Own and author the north star architecture for an AI-native web platform.
- Influence technical leaders across web and marketing engineering on shared architectural decisions.
- Apply agentic workflows across code generation, testing, review, deployment, and production monitoring.
- Define evaluation frameworks, guardrails, and feedback loops for reliable, production-grade agentic workflows.
- Mentor and grow engineers while establishing standards for AI-native platform engineering.
Requirements
- 12+ years of software engineering experience with a strong record of technical leadership and impact.
- 3+ years of engineering leadership experience as the technical owner for team-owned software systems.
- Proven technical leadership of a web platform, including design systems, rendering frameworks, edge delivery, CI/CD, and infrastructure.
- Deep hands-on expertise with React, TypeScript, and Node.js.
- Experience making and executing multi-layer architectural decisions on a live production platform.
- Experience sequencing and executing frontend framework migrations without disrupting production.
- A clear perspective on AI-native software development and a track record of building toward it.
- Familiarity with agentic systems or LLM-powered tooling is preferred.
- Ability to influence technical leaders and align engineering and business stakeholders.
- Track record of driving technical transformation, stack consolidation, or platform-level standards adoption at scale.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
Tech Stack
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.