Role at a glance
- Salary
- $136.3K – $204.5K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years of software engineering experience
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Role Summary
The Web Engineering team builds and owns Databricks’ public-facing web experiences, including databricks.com, blogs, landing pages, hubs, microsites, and event properties. This role ships web experiences on a unified AI native platform and contributes to an AI native software development lifecycle for building, testing, and deploying the web platform.
What You'll Do
- Build and ship web experiences across databricks.com, including landing pages, blogs, hubs, and event properties.
- Implement components and page systems using a shared design system.
- Contribute to a consolidated web stack that reduces per-surface maintenance overhead.
- Use AI native tools and agents across code generation, testing, and deployment.
- Help structure and optimize databricks.com surfaces for web and AI-driven search and discovery.
- Participate in code review and help establish rigorous AI native engineering execution.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
4+ years of software engineering experience with a track record of shipping production web systems; strong fundamentals across component architecture, rendering strategies, build systems, and deployment pipelines; experience building on or integrating with content management systems such as Drupal or Contentful; ability to adopt AI native development tools; ability to take a well-scoped problem to completion under senior direction.
Required
- Production web systems experience
- Component architecture
- Rendering strategies
- Build systems
- Deployment pipelines
- Drupal or Contentful content management systems
- AI native development tools
Preferred
- Headless CMS architectures
- Edge delivery
- Modern frontend frameworks
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Software Engineer, Web Products
P-1581
Location: Mountain View, CA
About Us:
The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world, across databricks.com, the blog, landing pages, hubs, microsites, and event properties. 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 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
What we look for:
- 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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 performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.