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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.

Node.js & Express backend, Golang CLI, Postgres database, Google Cloud

Swift, React.JS, TypeScript, GraphQL, Node, Python, ECS, PostgresSQL & Redis, largely hosted at AWS.

Data stack: SQL & Redshift, Airflow, Python, Kinesis, Spark, Sagemaker.

AWS, Contentful, GCP, JavaScript, Swift, Node.js, PHP, PostgreSQL, React Native

Typescript, React, Redux, Node.js, Prisma, Postgres, DS, EC2, AWS Lambda, Playwright

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

Node.js, Next.js/React, PostgreSQL, MongoDB, AWS. See our detailed stack here.

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

AWS PHP NodeJS Agile React Javascript ES6, Node.js, AWS (Lambda, SNS, EC2, ECS). SQL NoSQL databases (MySQL, MongoDB). GIT/Bitbucket

Blog post on our tech stack

Lever uses our own open source real-time framework called Derby that syncs all data via Operational Transformation. 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 Datadog 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 on Rails, Java, Elixir, React.js, GraphQL, Node.js, AWS, Redis, Spark & Scala, (Data team)

Swift, JavaScript, TypeScript, Native iOS, UIKit, Combine, Node.js, Vapor Swift, React, Next.js, Postgres, MongoDB

Golang, React, Redux, MongoDB, ElasticSearch, Redis, Kinesis, NATS, TimescaleDB, Lambda, Node.js, Postgres, Typescript

Node.js / Typescript, Python, React, Postgres, GraphQL with Hasura, BigQuery (columnar), PyTorch, Pandas, Jupyter, Spark, PySpark, Keras + Tensorflow, XGBoost, LightGBM, Kubernetes, Docker, GCP

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.

The majority of our work is in Rails, Node, and Java, but almost everything is up for grabs. The only tech we don’t work in is .NET and PHP.

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

We put a lot of care into how we ship code. Shipping fast starts with serious investment in tooling, like continuous deployment with multiple pushes per day. Shipping sustainably is about more than just effective work – it requires commitment to creating an environment where people can focus and get creative. Our tech stack includes:

React JS, TypeScript, Scala, Node.js, AWS, Graphite, Redis, DynamoDb, Kubernetes, MySQL, Python, Amazon Redshift, Swift, Kotlin, GraphQL, Swagger, ZooKeeper, Envoy

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.

React, Node.js, Python, Java

Our core application tech is built in Python/Django/DRF, Backbone.js/Marionette, React/Redux, Node.js/ShareDB, WebRTC and websockets. We deploy to AWS with EKS, Docker, Terraform, and Chef.

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

Full stack Javascript, Typescript, Node, React, Redux, Apollo, GraphQL, Redis, MongoDB, Elasticsearch, AWS (Codepipeline, ECR, ECS, Fargate) and serverless (Lambda, SQS, SNS).