Software Engineer, Web Products

Cacheflow; Mountain View (CA); On-site; USD 136,300 - 204,500; Full time

Job summary

Cacheflow is seeking a Software Engineer to join the Web Engineering team in Mountain View, California. You will be responsible for building production-quality web experiences across databricks.com. The role requires strong expertise in software engineering with a focus on crafting efficient, AI native web systems.

Ideal candidates should have at least 4 years of experience, a strong understanding of web stacks, and familiarity with integrating content management systems. This position offers competitive pay based on experience and other factors.

Qualifications

• 4+ years of software engineering experience with a track record of shipping production web systems.
• Strong fundamentals across the web stack including component architecture.
• Experience with AI native tools in engineering practice.

Responsibilities

• Build and ship web experiences on databricks.com.
• Implement systems using a shared design system.
• Participate actively in code reviews.

Skills

Software engineering experience

Web stack fundamentals

Content management systems

AI native development tools

Problem-solving under senior direction

Headless CMS architectures

Job description

Software Engineer, Web Products

GAQ327R227

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

Zone 1 Pay Range: $136,300 — $187,450 USD

Local Pay Range: $136,300 — $204,500 USD

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 for specific details.

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.

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.