Staff Fullstack Engineer, Agentic Applications
Databricks· Engineering
Mountain View, CA$192k - $260kfull-timePosted 9mo ago
About the role
Staff Software Engineer on the Agentic Applications team responsible for delivering end-to-end applications, defining technical roadmap, mentoring engineers, and leading technical initiatives to power in-house platforms and AI-powered 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 engineeringTechnical leadershipFull-stack cloud-native application designCommunication and stakeholder influence
Benefits
- Benefits information available via regional link (not specified in text)
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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