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Rails API, Ruby, Python, Postgres, PostGIS, React.js, Redux, Typescript, Heroku, AWS, Terraform

Frontend: React, Relay, Flow, Jest, Enzyme.

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec, Java, Kotlin, MongoDB, Clojure.

CI: GitHub, Buildkite.

Infrastructure: AWS, Ruby, Terraform, Kubernetes.

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

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

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

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.

Ruby/Ruby on Rails, EmberJs, PostgreSQL, Elasticsearch, RabbitMQ, AWS, CircleCI

Frontend – Custom MV* JS Framework, React, SASS, Handlebars

Backend – Perl, Go, NodeJS, Python

Data Science – Jupyter, Python, Clickhouse

Internal Operations – Linux, Terraform, Chef, Azure, Jenkins

Privacy Engineering – JavaScript, Python

iOS + macOS – Swift, Bitrise

Android – Kotlin, Jenkins

Windows - C#

Clojure backend, React front end, MongoDB, Kubernetes, AWS. Full stack here.

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

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

Elixir, Go, Kotlin, Python, Typescript

React, React Native, Node.js, Elasticsearch, Redis, AWS, Kubernetes, Kafka

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

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.

Python, Airflow, Docker (Marathon/Mesos), Snowflake (currently migrating from Redshift), Databricks (Spark on EC2), GitHub, Kafka, Segment.io, Fivetran, AWS (S3, Kinesis Firehose)

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.

We believe in choosing technologies pragmatically, balancing tradeoffs between widespread support, power, and accessibility. Our primary language is Python, augmented with C/C++, PyTorch, and other extensions. We use code tools like Bazel, mypy, and automatic formatters to reduce the cognitive overhead of our work, and ops tools like Docker and Salt to automate operational burdens. Our code runs in a variety of environments, including AWS, Google Cloud, professionally-hosted private clouds, and most importantly, on our own servers at customer sites. We collaborate and document our work with Slack, GitHub, Jira, and Confluence.

We use whatever tools are appropriate to accomplish the task at hand.

The backend stack currently consists of Node.js, Apollo server (GraphQL), PostgreSQL, Docker and Lambda in AWS. We also have a strong bias toward a micro-service architecture.

The frontend stack currently consists of React Native, TypeScript, Expo, Apollo client (GraphQL), and Jest testing framework. We have a mobile app with cross-platform support.

Web - Node, React, Python, PostgreSQL.

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

React Native, React, Ruby on Rails, Go

Rails 5.2, Ruby 2.3.7, Python, R, PostgreSQL 9.6, React 0.17, AWS, Docker, RabbitMQ, Sidekiq, Snowflake

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

React, Node.js, Python, Java

Ruby, Rails, Javascript, React, MySQL, Kubernetes

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

Python, AWS, Spark, ElasticSearch, Docker, Airflow, Kubernetes

Backend: Ruby on Rails, Postgres, Elasticsearch, Google Cloud Platform, Kubernetes.

Frontend: Typescript, React, Redux.

Data: BigQuery, BigTable, DataFlow, DataProc.

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

Frontend: express, react, redux, bootstrap. Middleware: express. Backend: everything but dominantly GoLang running on AWS.

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

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 on Rails

Swift

Postgres

Redis

Memcache

RabbitMQ

AWS

Heroku

Ruby / Javascript / Python / Golang, Sinatra / Rails / React, MySQL / Mongo, Presto for data warehouse, Docker / Kubernetes for deployment, REST / JSON / gRPC for service communication