Staff Fullstack Engineer, Agentic Applications

About the role

The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue.

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

Requirements

• 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

Qualifications

Passion for the data intelligence space.

Skills

• Technical leadership and problem-solving skills
• Cloud-native application development
• Collaboration and stakeholder management
• Data intelligence and AI expertise

Benefits

Details on benefits are available upon request.

Pay

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.

Schedule

Details on schedule are available upon request.