<p><p><b>Description :</b></p><p><br/>- Design, develop, and maintain scalable backend services and APIs using Python<br/><br/></p><p>- Familiarity with GoLang is a plus<br/><br/></p><p>- Architect and optimise systems handling large-scale user traffic and concurrent I/O operations<br/><br/></p><p>- Implement and manage asynchronous task queues using Celery, RabbitMQ or AWS SQS<br/><br/></p><p>- Work with databases such as PostgreSQL, MongoDB, Databricks or Iceberg for efficient data storage and retrieval<br/><br/></p><p>- Build and manage real-time systems using WebSockets (Socket.
and async.io frameworks<br/><br/></p><p>- Collaborate with DevOps and platform teams to design APIs that scale efficiently on Kubernetes clusters<br/><br/></p><p>- Ensure best practices in coding, testing, and performance optimisation for reliable, production-grade deployments<br/><br/></p><p>- Work in cross-functional teams to deliver robust and maintainable microservices based solutions<br/><br/><b>Requirements :</b></p><p><br/>- 4 - 8 years of backend development experience with Python<br/><br/></p><p>- Strong experience with FastAPI (experience limited to Flask/Django will not be sufficient)<br/><br/></p><p>- Proven track record of building and deploying systems supporting 10k+ active users<br/><br/></p><p>- Expertise in asynchronous programming and high concurrency architectures<br/><br/></p><p>- Hands-on experience with Celery, RabbitMQ or AWS SQS<br/><br/></p><p>- Experience with PostgreSQL, MongoDB, Databricks, or Iceberg<br/><br/></p><p>- Understanding of Kubernetes scaling concepts (microservices, orchestration, API scaling, service discovery)<br/><br/></p><p>- Familiarity with real-time data handling (WebSockets, socket.io)<br/><br/></p><p>- Strong debugging, performance, tuning, and problem-solving skills<br/><br/></p><p>- Continuous, consistent employment history (no unexplained gaps or overlapping roles)</p><br/></p> (ref:hirist.tech)