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AWS, DynamoDB, Go, InfluxDB, Kubernetes (EKS), PostgreSQL, Python, ReactJS 16+ (Hooks), Swift, Terraform

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.

APIs & Services: python+flask, thrift for API specification.

Backend infrastructure: AWS tools (S3, SQS, SNS, etc.). Graylog for logging. Cloudwatch, Icinga, PagerDuty for monitoring. Jenkins for CI/CD. Airbrake for exception monitoring.

Releasing: Regular releases from master twice weekly + Out-of-cycle releases when needed to facilitate the roll-out of specific features.

Mobile: Kotlin is our primary language for our native Android apps. Swift3 is our primary language for our native iOS apps.

Front-end Web: React, hooks, redux, typescript & modern javascript.

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.

PHP, Javascript, React, VueJS, Node.js, Next.js, Fastify, Java, Python, Perl, Kotlin, Swift, Objective-C, C#, Lua, MySQL, Redshift, DynamoDB, memcached, Redis, Kinesis, Kafka, Docker, Lambda, Linux, Nginx, Puppet, Terraform, Elasticsearch, Vespa, Haproxy, Splunk, Circonus, Redshift, Cloudfront, DynamoDB, S3, AWS

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

Javascript, Python, Django

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.

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#

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

Backend: Python3, Deployed on AWS Lambda + ApiGateway, GraphQL endpoint.

Frontend: React written in Typescript.

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

Elixir, Go, Kotlin, Python, Typescript

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

JavaScript, PHP, Python, Rails, MySQL, MariaDB, PostgreSQL, Docker, Heroku, Digital Ocean, Svelte, Laravel, Django

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

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.

Web - Node, React, Python, PostgreSQL.

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

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

Ruby on Rails, AngularJS, Python, SQL, Postgres, Docker, AWS

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

React, Node.js, Python, Java

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

AWS, Python, GoLang, Cloud9, GitHub, ELK, Cloudera

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.

React/Redux, Android (native, Kotlin), Python (using Flask / SQLAlchemy), Postgresql, AWS

We have a service oriented stack deployed on AWS using containers. Most of our backend services are written in Go, with the exception of an NLP/ML service written in Python. Services talk to each other using gRPC.

Our web application is served statically from Cloudfront/S3 and is written using React. Is is a Progressive Web App, with a service worker to speed up delivery.

We integrate with third party software such as Google Drive, Calendar, Jira, GitHub, Asana, Slack. These areas are some of the most complex parts of our systems. They’re also some of the most important: integrations enable the “magic” of a user coming to Range in the morning and seeing all of their work from the previous day already gathered in one place.

Python (Flask)

ReactJS / Redux

MongoDB

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