Role at a glance
- Salary
- $159.9K – $219.9K/yr
- Location
- Mountain View, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of software engineering experience
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Role Summary
The Senior Software Engineer, AI Native Web Platform will build and scale the framework, infrastructure, CI/CD, and deployment platform supporting Databricks' public-facing web properties. Working on the Web Engineering team under the direction of a Staff Software Engineer, the role will help create a unified, agentic-ready foundation that centralizes platform maintenance and enables reliable web delivery.
What You'll Do
- Build and scale CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations
- Own accessibility testing in CI and integrate automated accessibility validation into the deployment pipeline
- Implement centralized, policy-driven consent management infrastructure across web properties
- Contribute to consolidating frameworks and deployment models onto a shared design system and unified deployment foundation
- Operate in an AI native SDLC with agents assisting across code generation, testing, and deployment
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
8+ years of software engineering experience shipping and operating production web infrastructure; strong expertise in CI/CD, deployment pipelines, build systems, and edge delivery; experience implementing or operating consent management systems at the platform layer; ability to own a platform infrastructure domain end to end and drive it to production under Staff direction.
Required
- 8+ years of software engineering experience with a track record of shipping and operating production web infrastructure
- Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery
- Experience implementing or operating consent management systems at the platform layer
- Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction
Preferred
- Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines
- Experience with tech stack consolidation or framework migration on live production systems
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-1580
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 Senior Software Engineer, AI Native Web Platform on the Web Engineering team, you will build and scale the platform layer that Web Engineering builds on: framework, infrastructure, CI/CD, and deployment pipelines. You will work under the direction of the Staff Software Engineer and contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system.
The impact you’ll have:
- Build and scale platform infrastructure including CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations that power all of databricks.com
- Own accessibility testing in CI, bringing automated a11y validation into the deployment pipeline so accessibility is enforced at every release rather than caught after the fact
- Implement consent management infrastructure at the platform layer, replacing fragmented per-surface implementations with a centralized, policy-driven system that enforces compliance automatically across all web properties
- Contribute to tech stack unification: consolidating a fragmented set of frameworks and deployment models onto a shared design system and unified deployment foundation
- Operate in an AI native SDLC where agents assist across code generation, testing, and deployment, building faster and more reliably alongside them
What we look for:
- 8+ years of software engineering experience with a track record of shipping and operating production web infrastructure
- Strong expertise across web platform infrastructure including CI/CD, deployment pipelines, build systems, and edge delivery
- Experience implementing or operating consent management systems at the platform layer
- Familiarity with accessibility standards and experience integrating automated a11y testing into CI pipelines is a strong plus
- Ability to own a platform infrastructure domain end to end and drive it to production under Staff direction
- Experience with tech stack consolidation or framework migration on live production systems 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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.