Python Developer (Sports domain)

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About the project

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This is how we work

Your responsibilities

• Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement;
• Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django;
• Architect distributed systems to support millions of users with low latency and high availability;
• Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching;
• Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load;
• Implement robust testing strategies, including unit, integration, and performance tests;
• Drive continuous improvement of development processes and system observability, including monitoring and logging;
• Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines;
• Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing;

Our requirements

• 4 years of experience in Python backend development;
• Solid experience with Django/FastApi and asynchronous programming using asyncio;
• Production experience with Apache Kafka;
• Strong experience with distributed systems, microservices, or similar architecture;
• Experience deploying and managing containerized applications using Docker;
• Familiarity with any cloud provider, preferably AWS;
• Proficiency with SQL databases, especially PostgreSQL;
• Experience with CI/CD pipelines and test automation;
• Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent;
• Strong problem-solving skills and experience with code reviews;
• Comfortable working in Agile teams;
• English level: B2 or higher;

Optional

• Experience with Kubernetes;
• Experience working with systems supporting 1M+ users;
• Experience with NoSQL databases;
• Exposure to event sourcing or CQRS patterns;
• Familiarity with frontend technologies such as React;
• Knowledge of big data tools such as Flink or NiFi;
• Exposure to infrastructure as code tools such as Terraform;
• Experience in the sports or betting industries;

What we offer

• Resources and opportunities for self-education in technical and non-technical areas;
• Access to internal conferences and meetups for knowledge sharing and learning from industry experts;
• Medical insurance;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent.

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