Senior Python Engineer

Description

Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. 

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”. 

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).  

Do you want to join the party?

Responsibilities

• Development of a platform for ML lifecycle management, orchestration and processes
• Development and support of data pipelines (automation of collecting, structuring and cleaning data for training and assessing the quality of models)
• Development of monitoring and analytics services
• Work in Google Cloud Platform environment

Requirements

• Advanced Python knowledge
• Understanding ML principles
• Strong understanding of designing high-performance, fault-tolerant distributed software solutions
• Experience creating and optimizing big data processes, pipelines, and architectures
• Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or alike
• Familiarity with containerization technologies such as Docker and Kubernetes
• Knowledge of CI/CD tools and processes such as Git, GitLab, and Jenkins
• Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL, Redis)
• Familiarity with Unix/Linux OS and shell scripts
• Strong organizational skills

Would be a plus:

5+ years developing data engineering solutions using public cloud solutions Google Cloud Platform/AWS/Azure or on-premise distributions