> Markdown version of [/jobs/ext/3874363-python-developer-sports-sphere](https://www.wearedevelopers.com/jobs/ext/3874363-python-developer-sports-sphere). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Python Developer (Sports sphere)

- **Company:** Coherent, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $66,000.0 - $74,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Automation of Tests, Software Code Optimization, Code Review, Continuous Integration, Command-Query Responsibility Segregation (Software Development), DevOps, Distributed Systems, Django Web Framework, Fault Tolerance, Python (Programming Language), PostgreSQL, Message Broker, NoSQL, Prometheus, SQL Databases, Data Logging, Performance Testing, ReactJS, System Availability, Grafana, Caching, Backend, Fastapi, Event Driven Architecture, Containerization, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Apache Flink, Apache Kafka, Apache Nifi, Data Management, Front End Software Development, Asynchronous Programming, Event Sourcing, Terraform, Data Pipelines, Docker, Microservices
- **Published:** October 22, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pthmfp26fn

## About the Role

* 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

## 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