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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 monetise 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, energisers, 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
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 monetise 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, energisers, 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 AI 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 the Google Cloud Platform environment
- 4+ years of experience with Python
- Experience with Flask framework
- Experience working with both relational and non-relational databases (BigQuery, BigTable, MySQL)
- Experience with Asynchronous messaging using Pub/Sub, Kafka, RabbitMQ, or similar
- Familiarity with containerisation technologies such as Docker
- Knowledge of CI/CD tools and processes, such as GitLab and Jenkins
- Strong understanding of designing high-performance, fault-tolerant distributed software solutions
- Experience creating and optimising big data processes, pipelines, and architectures
- Familiarity with Unix/Linux OS and shell scripts
- Strong organisational skills
- Understanding ML principles
- Experience with Aerospike
- Experience with Kubernetes
- Experience with GCP or any cloud solution
- Stock options grant (we’re a Silicon Valley Company)
- Competitive salary
- Medical insurance for you and 75% off for your relatives
- Lunch budget
- Hybrid flexibility 4 days in office 1 home office
- Parking
- Multisport card
- Cheerful team spirit and fun office atmosphere
Key Skills
Ranked by relevance
cloud
google cloud platform
rabbitmq
big data
gitlab
kafka
flask
cicd
gcp
ai
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- Posted
- May 26, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Warsaw
- Company
- Tango
Industries
Consumer Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
AI/ML Engineer
2026-05-26
Full-time
Not Applicable
Poland
Consumer Services
Engineering
View Job Details
Related
Data Scientist: Machine Learning and GenAI
2026-05-26
Full-time
Not Applicable
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Engineering
View Job Details
Related
Backend Engineer, Operations Technology (all genders)
2026-05-16
Full-time
Not Applicable
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Engineering