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Kake Tech Stack

Staff augmentation firm placing senior engineers across web, mobile, and cloud platforms

Software Development Austin, TX 201–500 employees Privately Held

Kake staffs software engineering teams for enterprise clients, drawing from a distributed workforce across 18 countries spanning North America, Europe, South America, and South Asia. The tech stack is broad and multiplatform—React, Node, Python on the backend; React Native, Flutter, Swift, Kotlin on mobile; AWS and GCP for infrastructure—reflecting a client base with varied architectural needs. Hiring velocity is accelerating (79 roles posted in 30 days), with 94% seniority weighted toward senior engineers, suggesting demand for experienced individual contributors rather than junior fills.

Tech Stack 131 technologies

Core StackAWS Docker Kubernetes Kotlin Jetpack Compose JUnit GraphQL React Native Flutter Swift Jenkins Cypress Playwright Selenium Android Jetpack Navigation LiveData Jetpack WorkManager Espresso UI Automator Google Play Objective-C AVPlayer Mux Conviva Xcode Subversion iPad tvOS iOS+96 more

What Kake Is Building

Challenges

  • Complex backend payment flows
  • Migrating legacy components to modern ui
  • Executing website rebrandings
  • Scaling partner relationships
  • Automation coverage expansion
  • Performance playback issues
  • Improving playback quality
  • Reducing latency
  • Enhancing player robustness
  • Performance issues across devices

Active Projects

  • Data marts organized by business use
  • Ai-ready semantic layer for llm querying
  • Website rebranding
  • Payment flow orchestration
  • New user flow implementation
  • Ai training data development for expert human data platform
  • Llm code evaluation using structured rubrics
  • Next-generation live streaming solutions
  • Player framework and sdk optimization
  • Backend stack modernization

Hiring Activity

Accelerating80 roles · 80 in 30d

Department

Engineering
50
Data
16
Sales
11
Design
1
Product
1

Seniority

Senior
74
Mid
5
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About Kake

Kake is a remote-first staff augmentation firm headquartered in Austin, Texas, providing dedicated software engineers to enterprise clients. The company operates a global talent network spanning the United States and 17 additional countries, positioning engineers as embedded team members within client organizations rather than temporary contractors. The talent pool emphasizes senior-level practitioners with deep expertise in full-stack web (React, Node, Python, TypeScript), mobile development (iOS, Android, React Native, Flutter), and cloud infrastructure (AWS, GCP, Kubernetes, Docker). Active hiring across engineering, data, design, product, and sales functions indicates both growth in technical placement capacity and internal scaling of account management and data analytics capabilities.

HeadquartersAustin, TX
Company Size201–500 employees
Hiring MarketsUnited States, Pakistan, India, Hungary, Romania, Poland, Bulgaria, Estonia

Frequently Asked Questions

What tech stack does Kake specialize in?

Kake places engineers proficient in React, Node.js, Python, TypeScript, and GraphQL for backend/web work; React Native, Flutter, Swift, and Kotlin for mobile; and AWS, GCP, Docker, and Kubernetes for infrastructure. The stack reflects a portfolio spanning web, mobile (iOS/Android), and cloud-native environments.

Where does Kake hire engineers from?

Kake recruits from 18 countries: United States, Pakistan, India, Hungary, Romania, Poland, Bulgaria, Estonia, Mexico, Colombia, Brazil, Argentina, Chile, Uruguay, Guatemala, Paraguay, Canada, and Peru. The company operates as a remote-first organization with no geographic constraints on team placement.

How this profile is built

Kake'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.