Python Developer (Sports sphere)

Company Background

Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans.

Project Description

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;

What Do We Offer

The global benefits package includes

• 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 professional grow and development;

• 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.