Skyflow Tech Stack

Data privacy vault for isolating and governing sensitive data in AI stacks

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

Skyflow operates a data privacy platform centered on a vault architecture for storing and processing sensitive information across modern AI data stacks. The stack spans Go, Java, Python, and Node.js on cloud infrastructure (AWS, GCP, Azure) with Snowflake and MongoDB for data layers — a polyglot setup typical of platforms handling heterogeneous workloads. Active hiring is concentrated in engineering (6 roles) with senior-level dominance, and projects cluster around privacy APIs, low-latency transaction performance, and SDK development, suggesting a platform maturing from core vault toward developer integration tooling.

Tech Stack 28 technologies

Core StackGo Java Python Snowflake MongoDB Stripe Twilio Slack Zendesk C++ Node.js React GraphQL Docker Kubernetes Jenkins Angular Express Salesforce JavaScript AWS OpenAPI Swagger Ember.js Backbone.js CI/CD GCP Azure

AdoptingStripe Twilio Slack Zendesk Snowflake MongoDB

What Skyflow Is Building

◆Challenges

Meeting complex data localization requirements
Protecting sensitive data
Low-latency high-throughput transactions
Customer onboarding delays
Slow time-to-value
Data privacy challenges
Minimizing customer impact during incidents

▲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
Secure workflows integration strategy
Top-of-the-funnel email messaging sequences
Outbound campaigns at the enterprise level
Privacy vault integration
Stand up the skyflow support team

Hiring Activity

Accelerating15 roles · 3 in 30d

Department

Engineering

Product

Sales

Support

Seniority

Senior

Mid

Junior

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About Skyflow

Skyflow is a security and privacy platform built to help companies isolate, protect, and govern sensitive customer data within modern AI and analytics workflows. The platform centers on a Data Privacy Vault that enables secure storage, processing, and sharing of personally identifiable and regulated information. Skyflow operates across financial services, healthcare, travel, and retail verticals. Founded in 2019 and headquartered in Palo Alto, the company is structured as an engineering-led organization with distributed hiring across the United States and India, balanced by emerging sales and support functions.

HeadquartersPalo Alto, California

Company Size51–200 employees

Founded2019

Hiring MarketsUnited States, India

Frequently Asked Questions

What tech stack does Skyflow use?

Skyflow's stack includes Go, Java, Python, Node.js, React, and GraphQL on AWS, GCP, and Azure. Data layers use Snowflake and MongoDB. Infrastructure and deployment rely on Docker, Kubernetes, Jenkins, and CI/CD automation.

What is Skyflow working on?

Active projects include privacy APIs and backend infrastructure for large-scale data workflows, performance engineering for low-latency transactions, SDK development for backend languages, micro frontends, and enterprise outbound sales campaign execution.

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How this profile is built

Skyflow'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.