Staff Software Engineer, AI Native Web Platform

Cacheflow; Mountain View (CA); On-site; USD 198,200 - 272,600; Full time

Job summary

Cacheflow is looking for a Staff Software Engineer for their AI-Native Web Platform in Mountain View, California. You will define the technical roadmap, drive architectural decisions, and mentor engineers in a cutting-edge environment.

The ideal candidate has extensive software engineering experience, ideally over 12 years, with a strong emphasis on technical leadership and web platform expertise, particularly in AI-native software development. Join us and influence the future of web engineering at Cacheflow.

Qualifications

• 12+ years of software engineering experience with technical leadership.
• 3+ years in engineering leadership with ownership of software systems.
• Experience in web platforms with knowledge of CI/CD and edge delivery.

Responsibilities

• Define technical roadmap for the web platform.
• Influence architectural decisions and contribute to AI-native engineering.
• Mentor engineers on AI-native thinking and execution.

Skills

Software engineering experience

Technical leadership

Web platform expertise

Full web stack (React, TypeScript, Node.js)

AI-native software development

Multi-layer architectural decisions

Influencing technical leaders

Job description

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.

Zone 1 Pay Range

$198,200 — $272,600 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.

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.