Python Developer (Sports sphere)

The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies: — Python, Django/FastAPI, asyncio — Distributed systems, Microservices, Event-driven architecture — Apache Kafka — Docker, AWS (or other cloud providers) — SQL, PostgreSQL — CI/CD, Test automation — Prometheus, Grafana What You'll Do: — 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 Job Requirements: — 5+ 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 Nice To Have: — 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