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FIGS Tech Stack

Direct-to-consumer medical apparel brand with vertically integrated e-commerce platform

Retail Apparel and Fashion Santa Monica, California 201–500 employees Founded 2013 Public Company
wearfigs.com LinkedIn

FIGS manufactures and sells medical scrubs through a direct e-commerce model, backed by proprietary fabric technology and vertically integrated operations. The tech stack reveals a modern, services-oriented architecture: frontend (React, Next.js, TypeScript), orchestration (Kubernetes, Flux, Argo CD), and infrastructure-as-code practices (Terraform, AWS CDK). Active hiring across engineering, design, and sales—concentrated in junior and mid-level roles—paired with projects around backend scaling and GitOps workflows suggests FIGS is investing in platform reliability and B2B enterprise readiness while managing seasonal demand spikes.

Tech Stack 59 technologies

Core StackAdobe Premiere Pro After Effects Java AWS Kubernetes Terraform Elasticsearch PostgreSQL Shopify Adobe Illustrator Zoom Next.js React TypeScript GraphQL CircleCI Docker JavaScript Adobe Media Encoder DaVinci Resolve Spring Boot Flux Argo CD AWS CDK Centric PLM Styled Components Apollo Client ESLint Prettier Lerna+25 more

What FIGS Is Building

◆Challenges

  • Scaling backend systems for enterprise customers
  • High volume transactions
  • Maintaining reliability of backend services
  • Cost integrity across product categories
  • Margin expansion
  • Vendor cost transparency
  • Scaling complex enterprise applications
  • Streamlining seasonal development
  • Managing seasonal testing processes
  • Expanding b2b growth engine

▲Active Projects

  • Infrastructure as code with terraform/cdk
  • In-store events and initiatives
  • Holiday season support
  • Define and build out our core theming and reusable component libraries
  • Evolving backend systems for b2b roadmap
  • Implementing gitops workflows with flux and argo
  • Margin tracking models
  • Cost governance sops
  • External audits
  • Streamline seasonal development

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Sales
6
Design
5
Engineering
5
Finance
4
Ops
3
Marketing
2
Community
1
Data
1

Seniority

Junior
9
Mid
7
Senior
6
Manager
3
Intern
1
Lead
1
Staff
1

Notable leadership hires: Community Hub Lead

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About FIGS

FIGS is a public apparel company founded in 2013 and headquartered in Santa Monica, California. The company designs and manufactures medical scrubs using proprietary four-way stretch, moisture-wicking, wrinkle-resistant fabric sold through its own e-commerce platform. Operations span product design (Centric PLM), content creation (Adobe suite), software engineering, and direct sales to healthcare professionals. The business model is vertically integrated—controlling fabric development, design, manufacturing, and distribution. Pain points center on backend scaling for enterprise customers, seasonal demand volatility, cost governance across product lines, and vendor transparency.

HeadquartersSanta Monica, California
Company Size201–500 employees
Founded2013
Hiring MarketsUnited States

Frequently Asked Questions

What is FIGS' tech stack?

Frontend: React, Next.js, TypeScript, Apollo Client, Styled Components. Backend: Java, Spring Boot, PostgreSQL, Elasticsearch, GraphQL. Infrastructure: AWS, Kubernetes, Terraform, AWS CDK, Flux, Argo CD. Ecommerce: Shopify. Design/PLM: Adobe suite, Centric PLM.

What is FIGS working on?

Infrastructure modernization (Terraform/CDK, GitOps with Flux/Argo), B2B backend systems, seasonal development optimization, margin tracking and cost governance models, reusable component libraries, and in-store events for healthcare professionals.

How this profile is built

FIGS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.