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
| Skill | Experience | Level |
|---|---|---|
| Python | 6+ years | Intermediate |
| Django | 3+ years | Intermediate |
| Flask | 3+ years | Intermediate |
| Microservices architecture | 3+ years | Intermediate |
| React | 3+ years | Intermediate |
| Machine Learning | 1+ years | Intermediate |
| GIT | 2+ years | Intermediate |
| AWS | 1+ years | Intermediate |
| Azure | 1+ years | Intermediate |
| TensorFlow | 1+ years | Intermediate |
| SciKit-Learn | 1+ years | Intermediate |
| API Development | 1+ years | Intermediate |
| low latency | 2+ years | Intermediate |
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