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Core: Python Frontend: react, typescript, 3js Backend: PostgresQL, AWS 3D graphics: openGL, C++

Frontend: Clojurescript, React, GraphQL

Backend: Clojure, JVM

Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, AWS

Data: BigQuery, Tableau, Apache Beam

Python, React, PHP, Go, CloudFlare, Typescript, CSS, GraphQL, Google Cloud Platform

Backend: Ruby on Rails. Frontend: ReactJS + Typescript.

TypeScript, React, Apollo, GraphQL, Node.js, Prisma, Postgres, EC2, AWS Lambda, Playwright

Go for backend services, Node and Typescript for our web services, Next.js and React/Typescript on the frontend. We run on AWS with Kubernetes for containerization, and gRPC and protobufs for internal service communication.

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. Mobile apps are currently native and use JavaScript in webviews where appropriate. Our data infrastructure, which drives our data science and business intelligence efforts, is primarily in Python. We periodically evaluate adding other languages into our codebase for ecosystem or performance reasons; philosophically, we try hard to standardize on a few languages and toolchains so that investments in tooling can be leveraged across larger fractions of our engineering effort. Our production infrastructure runs on a variety of AWS services, principally using Terraform for deployment; for logging, aggregation, monitoring, and alerting, we use a mixture of ELK and some carefully selected third-party services.

Infrastructure: AWS, Cloudwatch, Kubernetes, Ingress, Helm, Route53, Nginx, Jenkins, Sentry, RDS / PostgreSQL, Redis, Istio.

Backend: Python 3, Flask, Redis, RDS / PostgreSQL, Peewee, Nginx, Kubernetes, Docker.

Frontend: TypeScript, Vue.js, Capacitor, SASS, Vuetify.

NextJS, React, Typescript, GraphQL, Kafka, Python, Django

Frontend: React Native (TypeScript), React (TypeScript). Backend: Django + Celery (Python), Redis, Heroku, AWS S3, AWS Aurora (PostgreSQL).

We use Python and PostgreSQL on our backend. On our frontend plugins, we use Javascript and React.

Virtualization/Cloud - AWS: ECS, Fargate

OS - Linux

Data Layer - AWS RDS postgres, OLAP Snowflake, OLTP Fauna, AWS ES

Application - Scala, REST API

Presentation Layer - React JS

Orchestration - Containers, Terraform, AWS Cloudformation, AWS Fargate, Docker

Frameworks - Akka

On the backend, our stack runs on Python3 in combination with GraphQL, on top of AWS infrastructure like Lambda & ApiGateway, to deliver the best experience and value to our customers.

On the frontend, we currently have three clients: web, iOS, and Android. Our existing web stack is an AngularJS (also known as Angular 1) app, within which we have (more recently, i.e. past year) been writing React components. The new stack is entirely React, written in Typescript, and includes modern libraries for things like state management, api requests, analytics, and error handling. It’s also built in such a way that we can package it as a native iOS/Android app, getting us closer to our goal of writing ~once while deploying on all 3 platforms. The iOS stack is Objective C and Swift and the Android’s stack is Java and Kotlin.

Clojure, React, Postgres, AWS, Git

Go, Kotlin, Python, Typescript

Python, Django, React JS, AWS

Frontend: Typescript, React… Backend: Python…

Qualified is a modern web app with a React UI interfacing over GraphQL, REST, and WebSockets with a Ruby on Rails backend. The data and messaging layers are built on PostgreSQL, Redis, and ClickHouse.

Backend: Ruby on Rails, MySQL, Elasticsearch, Lambdas Frontend: React Infrastructure: AWS, Docker, Terraform CI: GitHub, Jenkins

AWS, Angular 10, Go 1.14, Java 8+, Postgres 11.5, Rails 6, Ruby 2.7+, Terraform, TypeScript 3.5

Backend: Node + Express, Typescript, Go Microservices. Frontend: Next.js, React + Hooks, Storybook. Infrastructure: Heroku + AWS, CircleCI, DataDog.

Full-stack: TypeScript

Backend:

• NestJS
• GraphQL
• Graphile Worker
• Postgres

Frontend:

• React
• Next.js
• Tailwind

Other:

• Vercel
• Semaphore CI

Frontend: React (Typescript)

Backend: NestJS (Typescript), TypeORM, Postgres

Hosting: AWS (ECS, RDS, S3 + Cloudfront)

Dev-ops: CircleCI, Terraform

Python for our backend code, and the code that runs on the reactors. ES6 and Typescript on the frontend. We use React embedded into a flask site. We have a few different APIs, but we primarily use GraphQL.

Our web services are written with Ruby (Rails) on the backend and Typescript (React) on the frontend. We use GraphQL for most client-server communication, along with a few protobuf APIs for server-server communication. Our services are powered with Kubernetes and hosted on AWS.

Web: PHP, JavaScript, TypeScript, React/Redux, MySQL, Docker, and Elixir.

Mobile: Kotlin, Swift, Java, Objective-C, React Native, and Electron.

Systems: Docker, Nginx, PHP, C, Lua, MySQL, MongoDB, Node.js, Statsd, Graphite, Prometheus, Elasticsearch, Logstash, Hadoop, MogileFS, HDFS, and BGP.

Data: Hive, Impala, HBase, Spark, HDFS, Python, Java, Scala, Kafka, Elasticsearch, MySQL, Solr, and Lucene.

Python, Flask, Javascript, React, HTML/CSS, Sass, React Native, Expo, GraphQL, Postgres, Redis, Heroku, AWS

We’re tech agnostic and firmly believe that focusing exclusively on one technology is both a business risk and impediment to growth. No two clients or projects are the same, and no one technology can solve all problems effectively. Learning multiple frameworks and languages makes us more well-rounded engineers, and gives us a broader knowledge base to draw from when architecting solutions.

Some of the technologies we’ve worked with include:

- Frameworks such as React, Vue, React Native, Node.js, and Timber

- Content management systems like WordPress, Craft, and Contentful

Python, Flask, React, React Native, AWS, Postgres, Redis, Docker, Terraform, PyTorch

Product: React, Next.js, and TypeScript. Infrastructure: Go, Cadence, Presto, Flink, Kubernetes, and Terraform.

Ruby on Rails core application including Hotwire and Turbo. React, Alpine.js for dynamic front-end functionality. PostgreSQL. Our philosophy is keep it simple, don’t reinvent the wheel, and have great test coverage so we can refactor safely with ease as the product evolves.

We’re on service-oriented architecture. Our backend is composed of a collection of Java services that communicate via RPC. Our frontend web stack is a React/Redux application. We use Objective-C and Swift in the iOS app and Kotlin in the Android app. Our data infrastructure is cloud native in AWS and includes S3, EMR, Redshift/RDS, Lambda, and ECS.

Web - Node, React, Python, PostgreSQL.

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

Backend: Node.js, Express, MongoDB/Mongoose, Testing (Jest, Supertest, Nock), Cloudflare. Frontend: Angular 1, React. Hosting/Infrastructure: Heroku, MongoDB Atlas, GitHub, Codeclimate, CircleCI.

Dark’s backend is written in a combination of OCaml, Rust, and Dark (that’s right, Dark is partially built in Dark!). We use Kubernetes and Postgres, running on top of Google Cloud.

Our frontend is also in OCaml – we don’t expect you to know OCaml before you join, and you typically learn it in the first few weeks. We compile the OCaml to JS using Bucklescript/ReasonML, and use a framework similar to Redux or Elm for managing state.