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Sr. Staff Fullstack Engineer, Agentic Applications

Databricks· Agentic Applications / Engineering
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Mountain View, CA$192k - $260kfull-timePosted 9mo ago

About the role

Senior Staff Software Engineer responsible for delivering end-to-end AI-powered internal solutions, defining technical roadmap, mentoring engineers, and leading a team to build in-house platforms and capabilities.

Responsibilities

  • Define the technical strategy and roadmap for building in-house solutions for critical internal workflows
  • Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions
  • Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team
  • Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management.

Qualifications

  • 12+ years of software engineering experience, with a strong track record of technical leadership and impact
  • 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team
  • Experience designing and building end-to-end, full-stack cloud-native applications
  • Customer obsession and product engineering mindset
  • Strong communication skills and ability to influence technical and business stakeholders
  • History of raising the engineering quality bar, focus on execution and operational rigor
  • Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives
  • Passion for the data intelligence space.

Skills

Required:software engineeringengineering leadership
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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