Strategic Overview
Staff Software Engineer, AI Native Web Platform 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 Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. Define the evaluation frameworks, guardrails, and feedback loops that make agentic…
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
Staff Software Engineer, AI-Native Web Platform
GAQ327R228
The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. 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
- Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.
- Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.
- Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.
- History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale
Required Qualifications & Candidate Blueprint
- 12+ years of software engineering experience, with a strong track record of technical leadership and impact.
- Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure
- Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.
Salary & Benefits
Published compensation: $198,200 – $272,600 USD
Salary Benchmark
This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Staff level 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.
Staff Software Engineer, AI-Native Web Platform
GAQ327R228
About Us:
The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. 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 Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.
This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.
The impact you’ll have:
- Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.
- Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.
- Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.
- Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.
- Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice.
What we look for:
- 12+ years of software engineering experience, with a strong track record of technical leadership and impact.
- 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team.
- Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure
- Deep hands-on expertise across the full web stack like React, TypeScript, Node.js.
- Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform
- Experience sequencing and executing frontend framework migrations without disrupting production
- A clear point of view on AI-native software development and a track record of building toward it
- Familiarity with agentic systems or LLM-powered tooling is a strong plus.
- Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders
- History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale
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 Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start. — 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.