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Full stack python developer

Hyderabad, Telangana, India

Experience
6–8 years
Employment
Full-time
Work mode
Onsite
Salary
₹19.2 L–28.9 L / year
Deadline
Apply by 1 Nov 2026
Posted
2025-10-31

Required skills

SkillExperienceLevel
Python6+ yearsIntermediate
Django3+ yearsIntermediate
Flask3+ yearsIntermediate
Microservices architecture3+ yearsIntermediate
React3+ yearsIntermediate
Machine Learning1+ yearsIntermediate
GIT2+ yearsIntermediate
AWS1+ yearsIntermediate
Azure1+ yearsIntermediate
TensorFlow1+ yearsIntermediate
SciKit-Learn1+ yearsIntermediate
API Development1+ yearsIntermediate
low latency2+ yearsIntermediate

About the role

Job Description


Full Stack Python Developer

Position Overview: We are looking for a talented Full stack Software Engineer with a proven track

record in building microservices-based applications using Python, Flask, Django, and React. The ideal

candidate will have hands-on experience or familiarity with building Machine Learning (ML) applications

in a low-latency setup. As a key member of our engineering team, you will play a crucial role in

designing, developing, and optimizing robust and scalable software solutions that integrate cutting-edge

ML capabilities.

Responsibilities:

1. Microservices Architecture: Design, develop, and maintain microservices-based applications

using Python and web frameworks like Flask and Django.

2. Frontend Development: Create user-friendly and responsive interfaces using React, ensuring

seamless user experiences across different devices and platforms.

3. Backend Development: Build efficient and scalable backend systems to support data

processing, storage, and retrieval, and facilitate seamless communication between

microservices.

4. API Development: Design and implement RESTful APIs to enable smooth integration with

external services and facilitate communication between frontend and backend components.

5. Low Latency Setup: Utilize performance optimization techniques to create low-latency setups

for ML applications, ensuring real-time response and minimal delay.

6. Machine Learning Integration: Collaborate with data scientists to integrate ML models into the

application, ensuring proper deployment, monitoring, and inference.

7. Data Pipelines: Develop data pipelines to preprocess and prepare data for ML models, ensuring

data quality and consistency.

8. Security and Authentication: Implement security measures, authentication mechanisms, and

access controls to protect sensitive data and ensure application security.

9. Testing and Quality Assurance: Write unit tests, conduct code reviews, and ensure high code

quality to deliver reliable and maintainable software solutions.

10. Documentation: Prepare comprehensive documentation for code, APIs, and architecture to

facilitate seamless collaboration and future development.

Qualifications:

1. Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.

2. Minimum of 5 to 8 years of experience as a Full stack Software Engineer with a

focus on microservices development and exposure to Machine Learning

applications.

3. Proficiency in Python and experience with web frameworks like Flask and Django. Strong

knowledge of JavaScript and experience with React or other frontend frameworks.

4. Proven expertise in building and deploying microservices in a production environment.

5. Familiarity with Machine Learning concepts, libraries (e.g., TensorFlow, scikit-learn), and

experience in integrating ML models into applications.

6. Hands-on experience in designing and optimizing systems for low-latency applications.

7. Solid understanding of relational and non-relational databases, and experience in database

design and query optimization.

8. Proficient in Git for version control and collaboration.

9. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

10. Strong analytical and problem-solving abilities to address complex technical challenges.

11. Excellent teamwork and communication skills to collaborate effectively with cross-functional