Staff Software Engineer, AI Native Web Platform
Databricks3 months ago
Base Salary
$198k - $273k/yr
Responsibilities
- Define the technical roadmap for web platform components, rendering architecture, CMS, CI/CD pipelines, and developer tooling.
- Own the platform layer used by the broader web engineering team.
- Influence shared architectural decisions and contribute to Databricks’ broader AI-native engineering direction.
- Apply agentic workflows to 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 setting standards for AI-native engineering execution.
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 of 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 a strong plus.
- Ability to influence technical leaders and align engineering and business stakeholders.
- History of driving technical transformation, stack consolidation, or platform-level standards adoption at scale.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- The total compensation package may include an annual performance bonus and equity.
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.