Python Developer Job ID: 411763

Blumetra Solutions LLC; Hyderabad; On-site; INR 1,100,000 - 1,900,000; Full time

Job summary

Blumetra Solutions LLC in Hyderabad, India seeks an experienced Python Developer with 5-7 years, expert in backend, REST APIs, databases and cloud tech to design, build, test and maintain scalable applications.

You will work with Django/Flask/FastAPI and modern databases (PostgreSQL/MySQL/MongoDB), implement CI/CD, and collaborate with frontend, QA, DevOps and product teams while mentoring juniors in a fast-paced environment.

Qualifications

• 5-7 years of professional Python development experience.
• Proficient in Python 3.x and backend frameworks.
• Experience with REST APIs, HTTP/JSON, and microservices.
• Strong knowledge of relational databases and NoSQL.
• Familiarity with Git and CI/CD pipelines.
• Good understanding of testing and performance optimization.

Responsibilities

• Design, develop, test, and maintain scalable backend applications using Python.
• Develop and integrate RESTful APIs and microservices.
• Work with Django, Flask, or FastAPI.
• Design and optimize database queries for PostgreSQL/MySQL/MongoDB.
• Write clean, reusable, well-tested code and perform code reviews.
• Deploy and maintain applications in cloud environments (AWS/Azure/GCP).
• Collaborate with frontend, QA, DevOps, and product teams.
• Implement unit and integration testing (PyTest/unittest).
• Participate in architecture discussions and technical design decisions.
• Mentor junior developers and support knowledge-sharing initiatives.

Skills

Python

REST APIs

Backend design

Unit testing

Git

CI/CD

Cloud services

SQL/NoSQL

OOP

Docker

Team collaboration

Tools

Django

Flask

FastAPI

PostgreSQL

MySQL

MongoDB

Job description

Job Summary

We are looking for an experienced Python Developer with 5-7 years of hands-on experience in designing, developing, testing, and maintaining scalable applications. The ideal candidate should have strong expertise in Python, backend development, REST APIs, databases, and cloud technologies, with a focus on writing clean, maintainable, and high-quality code.

Key Responsibilities

• Design, develop, test, and maintain scalable backend applications using Python.
• Develop and integrate RESTful APIs and microservices.
• Work with frameworks such as Django, Flask, or FastAPI.
• Design and optimize database queries using PostgreSQL, MySQL, or MongoDB.
• Write clean, reusable, maintainable, and well-tested code.
• Perform code reviews and follow development best practices.
• Troubleshoot production issues and improve application performance.
• Collaborate with frontend developers, QA engineers, DevOps, and product teams.
• Implement unit and integration testing using PyTest or unittest.
• Work with Git-based version control and CI/CD pipelines.
• Deploy and maintain applications in cloud environments such as AWS, Azure, or GCP.
• Participate in architecture discussions and contribute to technical design decisions.
• Mentor junior developers and support knowledge-sharing initiatives.

Required Skills

• 5-7 years of professional experience in Python development.
• Strong proficiency in Python 3.x.
• Hands-on experience with Django / Flask / FastAPI.
• Strong understanding of REST APIs, HTTP, JSON, and microservices.
• Good knowledge of SQL and relational databases.
• Experience with PostgreSQL/MySQL and preferably NoSQL databases.
• Strong understanding of OOP, data structures, algorithms, and design patterns.
• Experience with Git and software development lifecycle.
• Good understanding of unit testing, debugging, and performance optimization.
• Familiarity with Docker and CI/CD.
• Exposure to AWS/Azure/GCP cloud services.
• Strong problem-solving and communication skills.

Good to Have

• Experience with Celery, Redis, Kafka, or RabbitMQ.
• Knowledge of Docker and Kubernetes.
• Experience developing event-driven or distributed systems.
• Familiarity with AWS services such as EC2, S3, Lambda, RDS, and CloudWatch.
• Experience with Agile/Scrum methodologies.
• Exposure to AI/ML integrations or data-processing pipelines.