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Ruby on Rails, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala (Data team)

Outside of our data teams, our engineering teams use Java, JBoss, CDI/Spring, Freemarker, Jquery, Knockout, SpringBoot, Redis Kinesis, Docker.

Our Data Engineering team uses Groovy, Redshift, AWS Data Pipeline, AWS Lambda, Cassandra, AWS Elastic Bean Stalk, Python, Docker.

Our Data Science team uses Python, Jupyter Notebook, SciKitLearn, Redshift, and Docker.

Cloud Foundry on AWS for hosting all servers, Akamai CDN, Java 8/Kotlin used on all backend services and APIs, RDS (AWS MySQL) used for account data storage, AWS S3 used for raw storage, RedShift used for analytics, React.js used for web based front end clients (including dashboards), Swift for iOS, Kotlin for Android, Python for Data Science

Airtable’s core stack is written using JavaScript, augmented with static type checking and other tools. We use Node.js on the backend, and mostly-React on the frontend, but our application requirements drive a substantial amount of custom software architecture; that is, Airtable is pretty far from a boilerplate “React + Express” application. We also periodically evaluate adding other languages into our codebase for ecosystem or performance reasons. Mobile apps are currently written in the standard platform language, mixed with JavaScript in webviews where appropriate. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for data collection, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Ruby on Rails, JavaScript (React, Redux), iOS (Swift, Objective-C), Android (Kotlin, Java), Ember

Frontend: express, react, redux, bootstrap

Middleware: express

Backend: everything but dominantly GoLang running on AWS

Node.js, Postgres, AWS, Terraform, Ansible, React

Across our product portfolio we leverage a variety of languages, frameworks and tooling. Much of our code is written in C#/.NET Core 2.x along with a handful of other languages such as C++, PHP, Node.js and Java. For frontend, Angular 6+ on the newer products, and a few mature products leveraging Javascript and JQuery. Many databases to store our 300TB+ of production data including MySQL, SQL Server, MongoDB, DynamoDB & RDS. We have some monolithic applications though new products & platforms are built using microservices running Docker containers on AWS ECS with some footprint in Azure. We leverage many AWS services – Lambda, CloudWatch, S3, EC2, Route53, IAM, SQS, SNS and more. We also use Terraform for configuring infrastructure, Jenkins for CI, and Git/GitLab for source code. These are flexible (they can and will change) and what a candidate knows for stack is not as important as their ability to think creatively – we can train languages, it’s much harder to train curiosity and intellectual drive.

Frontend: React, Relay, Flow, Jest, Enzyme

Mobile: React Native, Apollo

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec

CI: GitHub, Buildkite

Infrastructure: AWS, Python

CB Defense: A next-generation anti-virus solution for desktops, laptops, and servers that protects computers from the full spectrum of modern cyber attacks.The application server exposes a REST API.

CB Protection: The most proven application control solution that establishes automated software execution controls and protects policies that safeguard corporate and customer data. It's hosted on-prem. CB Protection exposes a REST API.

CB Response: A precise IR and threat hunting solution that continuously records and captures all threat activity in real time. is a multi-tenant, cloud hosted solution that utilizes a Service Oriented Architecture consisting of scalable services.

Web - Node, React, Python, PostgreSQL

Mobile - React Native, Swift (iOS) / Java (Android)

Golang, React, Redux, MongoDB, ElasticSearch, Redis, HAProxy, NATS, Kafka, Redis, and Cassandra

JavaScript

Node.js

AWS Lambda

PHP

Java

MySQL

Blog Post on our Tech Stack

Lever uses our own open source MVC framework called Derby that syncs all data via Operational Transformation (the algorithm behind Google Docs). OT is the way we handle concurrency conflicts for any piece of data that is edited at the same time. In addition to real-time sync, OT allows us to provide a smoother UI since we can render updates on the client instantly without waiting for our backend to respond, while still guaranteeing consistency.

Lever makes extensive use of AWS, Docker, Node, Mongo, ElasticSearch, and Redis within our infrastructure. We use tools like Hubot to streamline deployments and Grafana to see what’s going on under the hood. In addition to automating all the things, we love to version them too! Our systems are all created using Terraform and Chef, working together to ensure consistency at all costs.

Ruby

Rails

Javascript

React

MySQL

Kubernetes

Ruby on Rails

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku

GCP

TensorFlow

Keras

scikit-learn

We use Golang for our backend, Typescript and React for our web client, GraphQL to fetch data from our backend, and React Native for our mobile app. Direct experience with these technologies is not required.

Rails, MongoDB, Knockout, Go, AWS

Ruby on Rails, React, Redux, React Native, Sass, Redis, ElasticSearch, Postgres, Heroku, Airflow, Python 3

Ruby / Javascript / Python / Golang

Sinatra / Rails / React

MySQL / Mongo

Presto for data warehouse

Docker / Kubernetes for deployment

REST / JSON / gRPC for service communication

Engineering: Ruby on Rails, React, Postgresql, ElasticSearch

Data: Python + Go, Docker, AWS services (e.g. Kinesis, Lambda, ECS, Fargate…)

GitHub is a Rails 4 application that is composed of a large monolith and a constellation of services written in Ruby, Go, and a handful of other languages. The app and its services are exposed both internally and externally via a GraphQL API. We primarily rely on MySQL for persistent storage, Redis for temporary storage, and, as you might expect, a lot of git repositories. We rely on Kubernetes for container orchestration.

Rails for user facing side

React

Python for backend integrations/data science

TypeScript, JavaScript, and React

Scala (high performance backend)

Python (infrastructure management and data analysis)

Android and iOS

Luna1 (legacy in-house functional reactive framework, similar to Meteor)

Frontend: React/Redux. Legacy JSP (although increasingly less!)

Monolith backend: Java on Tomcat.

Microservices backend: Java on Spring.

API: Java w/ Swagger.

TechOps: Hashicorp stack + Docker on EC2/AWS. Cloudflare, EBS, Redis. Git/GitHub for Source Control. Jenkins for CI. Ruby/Cucumber for testing.

Databases: MySQL

Search: SOLR

Data: Python (pandas, AirFlow, etc.). Redshift/Postgres.

OnForce Platform (subsidiary): PHP on baremetal LAMP (deprecating, moving to AWS).

Languages/Frameworks: Angular, Node, Serverless Lambda, Rails, Coldfusion

Databases: MSSQL, Aurora

Cloud Providers: AWS

Our main app is a Ruby on Rails API, with a Postgres and PostGIS database and a front-end built using React.js. It’s hosted in Heroku. We also have a variety of services built in Python that are hosted on AWS.

JavaScript/CoffeeScript, Python, Node.js, React + React Native, AWS Lambda, Spark, Kinesis, MongoDB, Redshift

Python / Django Scala Golang Postgres Cassandra ElasticSearch Redis AWS (EC2, S3, ALB, EBS, Kinesis, SQS) Linux (Ubuntu)

Tech stack varies from team to team: PHP, React, Java, Node, Scala, Objective-C, Go, etc.

AWS rds + mysql for data storage API is in python + flask apache thrift for interface definition android app is in java ios apps in swift 3 front-end web is in python, flask, node, and react

ASP.NET / C# / MVC 4+ / LINQ / AJAX / JavaScript / jQuery / JSON / SQL / T-SQL / XML / XSL / XPath / XHTML / DHTML / CSS / Bootstrap / Rest / SOAP / Web Services