Build and scale the AI native web platform infrastructure at Databricks as a Senior Software Engineer.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 15 hours ago
Skills & Technologies
AI in the day-to-day
Operate in an AI native SDLC where agents assist across code generation, testing, and deployment.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior Software Engineer for the AI Native Web Platform at Databricks, the individual will focus on building and scaling the foundational platform infrastructure, including CI/CD pipelines and deployment automation. Key skills include extensive experience with web platform infrastructure and familiarity with consent management systems and accessibility standards. This position is ideal for seasoned engineers with a strong background in production web systems and a knack for tech stack consolidation. The team is engaged in a transformative project, rebuilding the platform to be AI-native from the ground up.
Joblaze insights
Quick facts
From the original posting
P-1580
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.
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.
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.