Principal Full-Stack Engineer: AI-Driven Platform Lead

E1; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

E1 is seeking a hands-on principal engineer to own the end-to-end architecture of a creator-economy platform, including brand portals, backend services, and AI-driven matching systems. The role blends coding with high-leverage leadership, setting engineering direction, improving standards, and mentoring the team.

You will lead across portals, services, and data, tackling hard problems in correctness, integrity, and scale while collaborating with product and design to translate ambitious goals

Qualifications

• 8+ years of experience building and operating production web applications.
• Deep proficiency in TypeScript across the stack, plus a modern framework such as React.
• Strong relational data modeling skills and a track record of safe schema migrations at scale.
• Hands-on experience with production cloud infrastructure (AWS preferred) and ownership of CI/CD pipelines.
• Demonstrated technical leadership without relying on formal authority.

Responsibilities

• Define and evolve the architecture across frontend portals, backend services, and the data layer.
• Establish engineering standards for testing, code review, safe migrations, and security review.
• Tackle the most demanding technical problems, including payout correctness, verification integrity, and system scale.
• Mentor engineers through design review, pairing, and constructive feedback.
• Collaborate with product and design to convert ambiguous goals into shippable increments.

Skills

TypeScript

React

Relational data modeling

CI/CD

Technical leadership

Tools

AWS

Job description

E1 is seeking a hands-on principal engineer to own the end-to-end architecture of a creator-economy platform, including brand portals, backend services, and AI-driven matching systems. The role blends coding with high-leverage leadership, setting engineering direction, improving standards, and mentoring the team.

You will lead across portals, services, and data, tackling hard problems in correctness, integrity, and scale while collaborating with product and design to translate ambitious goals