Skyflow Tech Stack

Data privacy vault for sensitive data isolation and governance

Software Development Palo Alto, California 51–200 employees Founded 2019 Privately Held

Skyflow operates a data privacy platform built around isolation and secure processing of sensitive information across modern AI stacks. The tech stack (Go, Java, Python, Kafka-adjacent patterns via Kubernetes/Docker) and active projects around privacy APIs, performance engineering for low-latency transactions, and SDK development suggest a platform engineered for high-throughput, compliance-heavy workloads. Minimal hiring velocity (1 role in 30 days) across a 51–200-person org indicates they are executing on existing scope rather than expanding surface area.

Tech Stack 29 technologies

Core StackGo Java Python Snowflake MongoDB Stripe Twilio Slack Zendesk C++ Node.js React GraphQL Docker Kubernetes GitHub Jenkins Angular Express Salesforce C OpenAPI Swagger Ember.js Backbone.js CSS HTML CI/CD REST

AdoptingStripe Twilio Slack Zendesk Snowflake MongoDB

What Skyflow Is Building

◆Challenges

Protecting sensitive data
Low-latency high-throughput transactions
Meeting complex data localization requirements
Data privacy compliance challenges
Legacy system modernization
Multi-cloud deployments
Customer onboarding delays
Slow time-to-value

▲Active Projects

Privacy apis and backend infrastructure for large-scale data workflows
Performance engineering for low-latency high-throughput transactions
Sdk development for backend languages
Micro frontends integration
Frontend ui design
Integration patterns development
Reference architecture design
Data governance framework creation
Secure workflows integration strategy
Top-of-the-funnel email messaging sequences

Hiring Activity

Minimal10 roles · 1 in 30d

Department

Engineering

Sales

Product

Support

Seniority

Senior

Junior

Mid

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About Skyflow

Skyflow provides a Data Privacy Vault—a security and governance platform designed to help enterprises store, process, and share sensitive customer data while maintaining isolation and compliance controls. The company targets Fortune 500 and growth-stage customers in financial services, healthcare, travel, and retail, where data privacy and regulatory requirements are central to operations. Their architecture spans backend privacy APIs, frontend SDKs across multiple languages, integration patterns, and data governance frameworks to address data localization, compliance challenges, and secure multi-cloud deployments.

HeadquartersPalo Alto, California

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Skyflow use?

Core languages: Go, Java, Python. Data layer: Snowflake, MongoDB. Infrastructure: Kubernetes, Docker, CI/CD, Jenkins. Frontend: React, GraphQL, Node.js, Express. Integrations: Stripe, Twilio, Slack, Zendesk, Salesforce, REST/OpenAPI.

What is Skyflow working on?

Privacy APIs and backend infrastructure for data workflows; low-latency transaction performance; SDKs for backend languages; micro frontends; data governance frameworks; secure integration patterns; and reference architecture design.