Staff Full-Stack Software Engineer (Advisor Experience)

Join Addepar, a leading financial technology company, as a Staff Full-Stack Software Engineer. In this role, you will be the technical lead for the Advisor Experience team, building tools for financial advisors to grow and sustain their business. You will partner with engineering leadership and product management to create a modern, scalable architecture and mentor junior and mid-level engineers. This position offers equity, a global hybrid workforce, flexible time off, competitive benefits, and a dynamic team environment.

• Architect, implement, and maintain full-stack engineering solutions to solve complex problems; write well-designed, efficient, and maintainable code that is scalable and extensible across frontend and backend systems.
• Shape technical direction for the team by establishing engineering standards, contributing to shared libraries, and driving design reviews across the full stack.
• Mentor, coach, and empower other engineers, identifying skill gaps and fostering professional growth through pairing, code review, and technical guidance.

• 8+ years of software engineering experience, with experience at the Staff level or above preferred
• Experience building in greenfield spaces and creating 0-1 products
• Demonstrated experience designing, building, and maintaining complex distributed systems and scalable web applications in production
• A track record of mentoring other engineers, setting high bars for code quality, and building an inclusive, growth-oriented engineering culture
• Strong proficiency across the full stack, including modern frontend frameworks (e.g., Svelte, React, Vue) and server-side languages such as Java
• B.S. or M.S. in Computer Science or similar technical field of study, or equivalent practical experience
• Strong understanding of backend architecture, API design, microservices, and server-side integration patterns
• Background or interest in wealth management, fintech, or financial advisor workflows
• Demonstrable knowledge of using AI in a professional engineering environment