Our team develops backend applications based on machine learning. We're not a code factory - most innovations come directly from our team, and we have enough time to experiment and work on things we consider important. We reserve part of our capacity for refactoring, reducing technical debt, developing new tools, and similar tasks. In addition, every developer has free time to try out new technologies.
We operate around six production applications running in several hundred containers and serving millions of users daily. We measure and evaluate application performance, and we're not afraid to discontinue products that don't prove successful. Nevertheless, the number of projects continues to grow, and that's why we're looking for reinforcements.
Our products are data driven. We have specialists for that - data scientists. You would communicate with them regularly, but your primary role should be that of an experienced programmer.
• You're an experienced backend engineer who knows how to run and maintain production grade applications and APIs.
• Python is your strong suit - you've been working with it for several years and feel fully at home in its ecosystem.
• You've already designed applications end to end, including architecture and technology choices - and you can clearly explain why you chose a particular approach.
• You learn fast and enjoy exploring new tools, technologies, and approaches.
• You're independent and accountable - you can take ownership of a project and drive it forward without constant supervision.
• You're comfortable working with virtualization and containers, especially Docker and container orchestration tools.
• Linux, shell scripting, git and CI/CD are part of your everyday workflow.
• Experience with AWS (or another cloud platform) is a great bonus.Our team develops backend applications based on machine learning. We're not a code factory - most innovations come directly from our team, and we have enough time to experiment and work on things we consider important. We reserve part of our capacity for refactoring, reducing technical debt, developing new tools, and similar tasks. In addition, every developer has free time to try out new technologies.
We operate around six production applications running in several hundred containers and serving millions of users daily. We measure and evaluate application performance, and we're not afraid to…