Strategic Overview
Software Engineer, Web Products at Databricks is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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….
The role is listed for Mountain View, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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
- Participate actively in code review and help establish what rigorous, AI native engineering execution looks like on this team
Required Qualifications & Candidate Blueprint
- 4+ years of software engineering experience with a track record of shipping production web systems
- 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
Salary & Benefits
Published compensation: $136,300 – $187,450 USD · $136,300 – $204,500 USD
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.
Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Build and ship web experiences across databricks.com including landing pages, blogs, hubs, and event properties on a unified, AI native architectural foundation — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.