Find Python Developer Jobs

Web - Node, React, Python, PostgreSQL.

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

Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).

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

Mobile: React Native, Apollo.

Backend: Ruby on Rails, Postgres, GraphQL, Python, RSpec.

CI: GitHub, Buildkite.

Infrastructure: AWS, Python.

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

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

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

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

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

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.

Ruby on Rails, React, Redux, React Native, Backbone, Apollo, GraphQL, Redis, ElasticSearch, Postgres, Heroku, Airflow, Python 3

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

AWS (ECS, ECR, EC2, S3, Cloudwatch…), Docker, Ruby (Sinatra), Python, Postgresql, Mysql, Swift, Kotlin, Sentry, Jenkins, React.js

Python, Flask, PostgreSQL, Redis, Heroku, AWS, GraphQL, React Native

Outside of our data teams, our engineering teams use Java, JBoss, CDI/Spring, Freemarker, Jquery, Knockout, SpringBoot, Redis Kinesis, Docker.

Our Data Engineering team uses Groovy, Redshift, AWS Data Pipeline, AWS Lambda, Cassandra, AWS Elastic Bean Stalk, Python, Docker.

Our Data Science team uses Python, Jupyter Notebook, SciKitLearn, Redshift, and Docker.

Our engineering team builds software using JavaScript/ES6, React, Redux, Swift, and Objective-C on the frontend and Python, bash, and Bitcoin Core on the backend.

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

Python, MySQL, Redis, Kinesis, HAProxy, Linux, Javascript, React, Redux, Flux, Flow, Elasticsearch, AWS, Jenkins, MyPy, nginx

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.

Some of the technologies we use to build Thread include: Python, Django, ReactJS, PostgreSQL, Redis, Debian, Docker, Memcache, nginx, Ansible, Jenkins, Gunicorn, Luigi, Pandas, scikit-learn, git.

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

Python, Django, Postgres, Objective-C, Swift, PyTorch

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

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)

Frontend: React/Redux. Legacy JSP (although increasingly less!)

Monolith backend: Java on Tomcat.

Microservices backend: Java on Spring.

API: Java w/ Swagger.

TechOps: Hashicorp stack + Docker on EC2/AWS. Cloudflare, EBS, Redis. Git/GitHub for Source Control. Jenkins for CI. Ruby/Cucumber for testing.

Databases: MySQL

Search: SOLR

Data: Python (pandas, AirFlow, etc.). Redshift/Postgres.

OnForce Platform (subsidiary): PHP on baremetal LAMP (deprecating, moving to AWS).

Our main app is a Ruby on Rails API, with a Postgres and PostGIS database and a front-end built using React.js. It’s hosted in Heroku. We also have a variety of services built in Python that are hosted on AWS.

We’re primarily a Python shop, using Django for our websites. We also have a few services written in Go and have started to build out our front ends using React. We use Github to host our code, Jenkins (for now) to automate our tests, and right now most of our applications and code live in VMs in a Colo just outside of Toronto. We’re in the process of transitioning to AWS. Other common technologies we use are Postgres (primary DBs), Redis (cache and key/value store), RabbitMQ (messaging broker) and Celery (task queue).

Ruby on Rails, Java, Python, Haskell, Postgres, Redis, AWS, Docker