About the job
About Stitch Fix, Inc.
At Stitch Fix (NASDAQ: SFIX), we're transforming the way people shop for clothing. As the premier online personal styling service, we help clients uncover styles that fit them perfectly, ensuring they always look and feel their best. Our unique approach combines expert stylists with advanced AI and recommendation algorithms, offering a curated selection of exclusive and national brands tailored to individual tastes. Founded in 2011 and headquartered in San Francisco, we streamline the shopping experience, allowing clients to express their personal style without the hassle of traditional shopping.
About the Team
The Platform Engineering team is dedicated to developing and maintaining the tools that empower our Application and Service Developers at Stitch Fix. We prioritize creating low-friction tools and practices that enhance developer happiness, as we believe that satisfied developers produce superior code. Our practices include Infrastructure-as-Code, Immutable Infrastructure, and the use of Containers, alongside leveraging AWS and various Cloud SaaS solutions.
About the Role
As a Platform Engineer, you will play a vital role in building and enhancing Stitch Fix's cloud-native infrastructure and internal developer tools. Your focus will be on developing tools and automations that simplify the deployment, operation, and debugging of services, while you gain exposure to modern platform engineering practices alongside seasoned professionals. This position is ideal for engineers passionate about enhancing developer experience and eager to expand their expertise in cloud infrastructure and CI/CD systems.
You'll be excited about this opportunity because you will…
- Contribute to the design and evolution of our internal platform-as-a-service utilized by application and service developers.
- Develop and uphold tools that enhance developer workflows, improve deployment reliability, and boost daily productivity.
- Work collaboratively with platform and application engineers to pinpoint friction points and apply incremental improvements.
- Learn and implement best practices surrounding Infrastructure-as-Code, containerized workloads, and CI/CD pipelines.
- Utilize or be eager to adopt AI-assisted development tools to increase productivity, and assist in exploring and integrating LLM-powered solutions for automating internal support and operational tasks.

