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Staff Fullstack Engineer, Agentic Applications

Leads development of AI-powered, full-stack cloud-native applications for enterprise workflows. Requires 12+ years experience, 3+ years technical leadership, and strong full-stack expertise.

About the job

The impact you’ll have

  • 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

What we look for

  • 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

Benefits

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Mental wellness resources

Skills

Full-Stack, Cloud-Native Applications, AI, Software Architecture, Technical Leadership, Kubernetes, React, Node.js, Python, Databricks

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