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Web stack: Django, GraphQL, React, Postgres. Data pipeline: Spark, Kafka, Elastic Search, Scala. Infra: AWS.

Ruby on Rails, Ember.js, iOS app (Swift), Android app (Kotlin/Java)

GCP, K8s, Docker, Clojure, Elastic Search, SQL, Node, Swift, React Native, React, Redux

React, MySQL, Java, MongoDB, Redis, Amazon S3, Go, Amazon RDS, Swift, Objective-C, Kafka, Scala, Cassandra, Amazon DynamoDB, Kotlin, Apache Spark, Amazon Redshift, gRPC, Amazon Redshift Spectrum, Elasticsearch, Mixpanel, TensorFlow, GitHub, Jenkins, Webpack, Kubernetes, Datadog, Terraform, Chef, Crashlytics, Bazel, Envoy

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.

Our clients (Android, iOS, and web) and backend are all built in JavaScript using technologies like React, React Native, Nodejs, and GraphQL.

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, Snowflake, 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.

Swift, Node.js, React, Vapor, Heroku, Cloudkit, Postgres

Ruby on Rails, React, React Native (iOS & Android), Postgres, Sidekiq … and lots of testing and CI tools!

Web - Node, React, Python, PostgreSQL

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

Ruby on Rails

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku

Some popular languages and frameworks we use are: (Web) JavaScript, Python, Go, Java, PHP, Ruby | Node.js, Express, Spring, ReactJS, Redux, Typescript, Rails. (Android) Kotlin, Java | RxJava, React Native. (iOS) Swift, Objective-C | RxSwift, React Native

Frontend: Javascript, React, Typescript, Flow, Mobx, Stylus, Redux, Reactive JS, Styled Components, Focal (our own in-house, open-sourced state management framework)

Mobile (iOS and Android): Java, OkHttp, Butterknife, Retrofit, XCode, Swift, ReactiveCocoa, ReactiveSwift, Kickstarter-Prelude, Argo, Runes, Curry

Desktop app: CoffeeScript, Electron.js, C#, F#, ReactiveUI

Internal tools: Angular, Elm, ClojureScript

Backend: Java, Scala, Python, Haskell, Lisp, Clojure, Go, C++

NLP/Research teams: sklearn, TensorFlow, PyTorch, CNN, RNN, Keras, Seq2Seq, xgboost, CRFs, nltk/spacy/OpenNLP, OpenNMT, Jupyter notebooks

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)

We use a LAMP (Linux (Ubuntu), Apache, MySQL, PHP) and have iOS and Android clients that we developer natively in Swift and Kotlin. We also integrate with the Clover POS terminals. We’re infinitely curious so we also dabble in lots of other tech but this is our official stack.

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

iOS team: Swift & Objective-C. Android team: Java. Desktop team: Electron, web stack (js, css, etc.). Service team: Java, AWS, devops.

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