Python Developer (GenAI)

Knowledgesprint Technologies; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Knowledgesprint Technologies in Hyderabad seeks a strong Python backend developer to design scalable services using Django, FastAPI, and modern architecture.

You will implement microservices, REST/SOAP APIs, work with PostgreSQL, Elasticsearch, Redis, Kafka, and CI/CD, and write thorough tests following SOLID and secure coding practices.

Exposure to AI/ML and MongoDB is a plus; mentoring juniors and collaborating across teams to improve performance are part of the role.

Qualifications

• Design and develop production-grade backend services using microservices, REST/SOAP APIs, XML integrations, and event-driven architectures.
• Strong expertise in PostgreSQL, SQL, NoSQL, and Elasticsearch, including database design, data modeling, query optimization, and caching.
• Develop and integrate asynchronous and distributed systems using Redis, Kafka, RabbitMQ, Redis Streams, Celery, and background processing.
• Hands-on experience with AWS, Docker, CI/CD, GitHub, automated deployments, and cloud-native application development.
• Write and maintain unit and integration tests using PyTest/unittest while following SOLID principles, secure coding, and software engineering best practices.
• Troubleshoot complex performance, scalability, reliability, and architectural challenges; collaborate with teams, estimate technical effort, and mentor junior developers.
• Strong analytical, problem-solving, communication, and ownership skills; exposure to AI/ML, LLMs, agentic workflows, and MongoDB is an advantage.

Responsibilities

• Design and develop production-grade backend services using microservices, REST/SOAP APIs, XML integrations, and event-driven architectures.
• Strong expertise in PostgreSQL, SQL, NoSQL, and Elasticsearch, including database design, data modeling, query optimization, and caching.
• Develop and integrate asynchronous and distributed systems using Redis, Kafka, RabbitMQ, Redis Streams, Celery, and background processing.
• Hands-on experience with AWS, Docker, CI/CD, GitHub, automated deployments, and cloud-native application development.
• Write and maintain unit and integration tests using PyTest/unittest while following SOLID principles, secure coding, and software engineering best practices.
• Troubleshoot complex performance, scalability, reliability, and architectural challenges; collaborate with teams, estimate technical effort, and mentor junior developers.
• Strong analytical, problem-solving, communication, and ownership skills; exposure to AI/ML, LLMs, agentic workflows, and MongoDB is an advantage.

Skills

Python backend development

Django

FastAPI

OOP

Clean coding

Scalable architecture

REST APIs

SOAP APIs

XML integrations

Event-driven architectures

Tools

PostgreSQL

SQL

NoSQL

Elasticsearch

Redis

Kafka

RabbitMQ

Redis Streams

Celery

AWS

Docker

CI/CD

GitHub

PyTest

unittest

Job description

Job Summary

Strong experience in Python backend development using Django, FastAPI, OOP, clean coding practices, and scalable architecture design.

Responsibilities

• Design and develop production-grade backend services using microservices, REST/SOAP APIs, XML integrations, and event-driven architectures.
• Strong expertise in PostgreSQL, SQL, NoSQL, and Elasticsearch, including database design, data modeling, query optimization, and caching.
• Develop and integrate asynchronous and distributed systems using Redis, Kafka, RabbitMQ, Redis Streams, Celery, and background processing.
• Hands-on experience with AWS, Docker, CI/CD, GitHub, automated deployments, and cloud-native application development.
• Write and maintain unit and integration tests using PyTest/unittest while following SOLID principles, secure coding, and software engineering best practices.
• Troubleshoot complex performance, scalability, reliability, and architectural challenges; collaborate with teams, estimate technical effort, and mentor junior developers.
• Strong analytical, problem-solving, communication, and ownership skills; exposure to AI/ML, LLMs, agentic workflows, and MongoDB is an advantage.