Senior Python Engineer

We're searching for a Backend Engineer to join our Platform team.

In this role you will:

• Build scalable high-load systems using Python.

• Work with Big Data. Adapt the product to work with a large amount of data (> 200-400 million records per day).

• Work with data: pipelines, integration, analytics.

• Improve system reliability.

• Design, build, deploy, monitor, and maintain products.

• Rewrite legacy systems with modern technologies.

About you:

• Excellent knowledge of Python, 5+ years.

• Excellent knowledge of raw SQL (no ORM).

• Experience with data storage like PostgreSQL (deep understanding of engine, performance optimization).

• Experience in building solutions based on microservices and scaling such systems.

• Experience with modern CI/CD approaches and tools.

• Experience setting up and improving the development process.

• Strong focus on business implications when making decisions on architecture.

How we measure success in this role:

• High-load services operate reliably under large data volumes.

• Data is processed efficiently and used for analytics or product features.

• The system is observable, stable, and easy to troubleshoot.

• The platform supports product goals and scales with business.

What is there for you?

• Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.

• Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.

• Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.

• Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.

• Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.

• Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.

• Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.