> Markdown version of [/jobs/ext/4169077-software-engineer-web-products](https://www.wearedevelopers.com/jobs/ext/4169077-software-engineer-web-products). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Web Products - **Company:** Databricks - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Salary:** $187,450.0 - **Contract:** Permanent contract - **Skills:** Contentful, Artificial Intelligence, Code Generation, Code Review, Drupal, Systems Development Life Cycle, Software Engineering, Systems Integration, Web Application Frameworks, Web Engineering, Delivery Pipeline, Build Tools, Databricks - **Published:** October 31, 2026 - **Apply:** https://www.adzuna.com/details/5776122126 ## About the Role * 4+ years of software engineering experience with a track record of shipping production web systems * Strong fundamentals across the web stack including component architecture, rendering strategies, build systems, and deployment pipelines * Experience building on or integrating with content management systems like Drupal, Contentful * Comfort adopting AI native development tools and embedding them into daily engineering practice * Ability to take a well-scoped problem and drive it to completion under senior direction * Familiarity with headless CMS architectures, edge delivery, or modern frontend frameworks is a strong plus ## Description As Software Engineer on the Web Engineering team, you will build and ship production-quality web experiences across public-facing Databricks properties on an AI native platform designed for humans and agents from the ground up. You will contribute to a web delivery practice where AI native tools and an AI native engineering lifecycle are embedded in how the team builds every day. The impact you'll have: * Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation * Implement components and page systems using a shared design system, contributing to a consolidated stack that reduces per-surface maintenance overhead * Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them * Contribute to ensuring databricks.com surfaces are structured and optimized for how the web is discovered and consumed today, including by AI driven search and discovery systems * Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team