Python Developer (Sports sphere)

Описание

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.

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

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

We offer

• Technical and non-technical training for professional and personal growth
• Internal conferences and meetups to learn from industry experts
• Support and mentorship from an experienced employee to help you grow professionally
• Health insurance
• Sports activities to promote a healthy lifestyle
• Flexible work options, including remote and hybrid opportunities
• Referral program for bringing in new talent
• Work anniversary program and additional vacation days