Senior Software Engineer, AI Native Web Platform
Databricks · Mountain View, California · Engineering · listed July 15, 2026
The shape of it
Seniority
Senior
Experience asked
8+ years
Where
Not stated
Stated pay
$159,900 – $219,900 USD
Requirements listed
6
Length
709 words
In the posting’s own words
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.
What it asks for · 6
- 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
What the job covers
- 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
Tools and skills named
Product & design
- Accessibility5×
- Design systems
Cloud & infra
- CI/CD3×
Ways of working
- Testing3×
Data
- Databricks
Words the posting leans on
- platform8×
- deployment7×
- infrastructure6×
- system6×
- web6×
- pipelines5×
- build4×
- experience4×
- accessibility3×
- ci/cd3×
- framework3×
- platform infrastructure3×
- platform layer3×
- production3×
- testing3×
- automated a11y2×
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