Databricks Logo

Databricks

Senior Software Engineer, AI Native Web Platform

Reposted 3 Months Ago
Be an Early Applicant
In-Office
Mountain View, CA
160K-220K Annually
Senior level
In-Office
Mountain View, CA
160K-220K Annually
Senior level
Build and scale web platform infrastructure (CI/CD, deployment automation, secrets management, edge delivery) for databricks.com. Implement automated accessibility testing and centralized consent management, unify frameworks into a shared design system, and operate within an AI-native, agent-assisted SDLC to drive platform features to production.
The summary above was generated by AI

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.


Zone 1 Pay Range
$159,900—$219,900 USD

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.

Similar Jobs

3 Months Ago
In-Office
234K-322K Annually
Expert/Leader
234K-322K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Lead design and implementation of an AI-native web platform, owning web framework, design system, CMS, CI/CD, infrastructure and SDLC agents. Define architecture, pioneer agentic workflows, set evaluation guardrails, mentor engineers, and drive cross-team technical alignment and migrations.
Top Skills: Agentic SystemsCi/CdCmsDesign SystemEdge Delivery/CdnLlmsNode.jsProduction MonitoringReactRendering FrameworksSdlc AgentsTypescript
13 Minutes Ago
In-Office
197K-420K Annually
Expert/Leader
197K-420K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads product strategy, roadmap planning, and execution for HPE cloud infrastructure and AI networking hardware serving hyperscalers, cloud providers, and Neoclouds. Owns hardware product strategy, customer requirements, competitive analysis, NPI programs, engineering commitments, and go-to-market execution. Partners with corporate strategy, R&D, sales, marketing, customers, and systems engineering to expand adoption, revenue, and market share across global cloud infrastructure markets.
Top Skills: Ai NetworkingCloud InfrastructureData Center NetworkingHyperscaler PlatformsIp NetworkingNetwork AsicsNetwork HardwareNetwork Operating SystemsNetworking ProtocolsWan Networking
13 Minutes Ago
In-Office
124K-285K Annually
Senior level
124K-285K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Develops North American field enablement strategy for HPE Networking by creating sales plays, learning experiences, coaching, seller tools, and reinforcement programs. Translates networking technologies into customer-focused stories, use cases, discovery questions, and repeatable sales actions. Partners with sales leaders and cross-functional teams to drive adoption, behavior change, pipeline progression, and measurable business outcomes. The role also defines enablement content standards, facilitates training, and evaluates field engagement and business impact.
Top Skills: AiopsArtificial IntelligenceCampus NetworkingData Center NetworkingEnterprise NetworkingNetwork ManagementNetwork SecurityRoutingSales SimulationsSwitchingVideo LearningWireless

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account