Python Developer (Sports sphere)

Python Developer (Sports sphere)
Удалённо (Мир)

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


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