Senior Python Engineer

<h3>Description</h3> <p>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. </p><p>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.</p><p>Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!</p><p>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”. </p><p>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!).  </p><p><strong>Do you want to join the party?</strong></p> <h3>Responsibilities</h3> <ul><li>Development of a platform for ML lifecycle management, orchestration and processes</li><li>Development and support of data pipelines (automation of collecting, structuring and cleaning data for training and assessing the quality of models)</li><li>Development of monitoring and analytics services</li><li>Work in Google Cloud Platform environment</li></ul> <h3>Requirements</h3> <ul><li>Advanced Python knowledge</li><li>Understanding ML principles</li><li>Strong understanding of designing high-performance, fault-tolerant distributed software solutions</li><li>Experience creating and optimizing big data processes, pipelines, and architectures</li><li>Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or alike</li><li>Familiarity with containerization technologies such as Docker and Kubernetes</li><li>Knowledge of CI/CD tools and processes such as Git, GitLab, and Jenkins</li><li>Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL, Redis)</li><li>Familiarity with Unix/Linux OS and shell scripts</li><li>Strong organizational skills</li></ul><p><br/></p><p>Would be a plus:</p><p>5+ years developing data engineering solutions using public cloud solutions Google Cloud Platform/AWS/Azure or on-premise distributions</p>