Senior Platform Engineer - AI-Driven, Scalable Platform

Stitch Fix Inc.; United States; Remote; USD 125,000 - 209,000; Full time

Benefits offered by this job

Equity

Health benefits

Bonus eligibility

Job summary

Stitch Fix Inc. is seeking a Principal Platform Engineer to lead the end-to-end delivery of platform initiatives and to shape core platform architecture. You will partner with engineering managers, architects, and TPMs to boost productivity, reliability, and velocity across teams.

The role emphasizes hands-on technical work, mentoring, and the development of self-service tooling, with a focus on AI-driven workflows and scalable infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years designing, building, and operating complex production systems in platform or backend environments.
• Deep experience with distributed architectures, microservices, APIs, and cloud infrastructure.
• Hands-on experience with AI-assisted engineering workflows (e.g., AI agents, Copilot).

Responsibilities

• Own end-to-end technical delivery of platform initiatives from discovery to operational readiness.
• Design scalable, observable shared platform capabilities, APIs, gateways, and backend services.
• Evaluate and prototype emerging technologies, including AI agents and automated workflows.
• Lead design reviews and mentor engineers through code reviews and feedback.
• Deliver self-service tooling to reduce manual work and improve production efficiency.

Skills

Leadership

Problem solving

Communication

Strategic thinking

Education

Bachelor’s degree in CS/Software Eng

Tools

Ruby on Rails

Python

Rust

GraphQL

Job description

Stitch Fix Inc. is seeking a Principal Platform Engineer to lead the end-to-end delivery of platform initiatives and to shape core platform architecture. You will partner with engineering managers, architects, and TPMs to boost productivity, reliability, and velocity across teams.

The role emphasizes hands-on technical work, mentoring, and the development of self-service tooling, with a focus on AI-driven workflows and scalable infrastructure.