Databricks

1 week ago

Senior Software Engineer, AI Native Web Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Build and scale the platform layer for Databricks’ public-facing web experiences, including framework and infrastructure, CI/CD, deployment pipelines, secrets management, and edge delivery configurations. Own accessibility testing in CI so automated validation runs on every release. Implement consent management infrastructure centrally across web properties, unify fragmented frameworks into a shared design system, and contribute to an AI-native, agent-assisted SDLC operating model.

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and scale platform infrastructure such as CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations for databricks.com.
•Own accessibility testing in CI by integrating automated a11y validation into the deployment pipeline for every release.
•Implement platform-layer consent management infrastructure to replace fragmented per-surface implementations and enforce compliance across web properties.
•Unify the web tech stack by consolidating frameworks and deployment models into a shared design system and unified deployment foundation.
•Operate within an AI-native SDLC where agents assist across code generation, testing, and deployment to improve speed and reliability.

Pay and Benefits

Salary: USD 159,900 - 219,900 annually

Key Requirements

•8+ years of software engineering experience shipping and operating production web infrastructure.
•Strong expertise in 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.
•Ability to own a platform infrastructure domain end to end and drive it to production under staff direction.

Experience:8+ yearsWeb infrastructureProduction systemsPublic-facing websites

Skills:End-to-end ownershipAccessibility testingCross-team collaborationTechnical execution

Languages:English

Tech Stack:CI/CDCICDDeployment pipelinesSecrets managementEdge delivery configurationsA11y testingAccessibilityConsent managementDesign systemCode generationTestingDeploymentApache SparkDelta LakeMLflow

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 week ago

Senior Software Engineer, AI Native Web Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and scale platform infrastructure such as CI/CD pipelines, deployment automation, secrets management, and edge delivery configurations for databricks.com.
•Own accessibility testing in CI by integrating automated a11y validation into the deployment pipeline for every release.
•Implement platform-layer consent management infrastructure to replace fragmented per-surface implementations and enforce compliance across web properties.
•Unify the web tech stack by consolidating frameworks and deployment models into a shared design system and unified deployment foundation.
•Operate within an AI-native SDLC where agents assist across code generation, testing, and deployment to improve speed and reliability.

Pay and Benefits

Salary: USD 159,900 - 219,900 annually

Key Requirements

•8+ years of software engineering experience shipping and operating production web infrastructure.
•Strong expertise in 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.
•Ability to own a platform infrastructure domain end to end and drive it to production under staff direction.

Experience:8+ yearsWeb infrastructureProduction systemsPublic-facing websites

Skills:End-to-end ownershipAccessibility testingCross-team collaborationTechnical execution

Languages:English

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn