Level

Databricks

Software Engineer, Web Products

Databricks is hiring a Software Engineer, Web Products in Mountain View, United States. It pays $136k-$187k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Drupal, Contentful and web development.
  • Level classifies it as a mid-level role.
  • Level lists 894 other open roles at Databricks.

AI in this role

Build and ship public-facing web experiences on Databricks' AI-native platform using an agentic software development lifecycle.

drupalcontentful
web-developmentfrontendcomponent-architectureai-sdlccontent-management-systems

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.

 

Zone 1 Pay Range$136,300—$187,450 USD

 

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.

 

Local Pay Range$136,300—$204,500 USD

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.

How we rate this

Software Engineer, Web Products at Databricks rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Web DevelopmentFrontendComponent ArchitectureAI SdlcContent Management SystemsDrupalContentful

Also common in software engineer jobs at this level

Pay

This job starts at
$136k
Typical software engineer job
$168k

This posting starts 19% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where web development was part of your work. What did you do?
  2. Tell me about a project where frontend was part of your work. What did you do?
  3. Tell me about a project where component architecture was part of your work. What did you do?
  4. Tell me about a project where ai sdlc was part of your work. What did you do?
  5. Tell me about a project where content management systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Web Development, Frontend, Component Architecture, AI Sdlc, and Content Management Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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