Python Backend Engineer (5-7 Years ) Pune

HypTechie; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HypTechie is seeking a skilled Python Backend Engineer to design and develop scalable backend solutions. The role emphasizes robust REST APIs, microservices, and enterprise-grade architecture with Modern Python frameworks.

You will work across FastAPI, Django or Flask, modeling data, and optimizing queries while ensuring secure, highly available deployments on cloud platforms. A strong focus on CI/CD and DevOps practices will be essential.

Qualifications

• Experience building scalable backend systems with Python.
• Hands-on with REST APIs and microservices architectures.
• Experience with FastAPI, Django or Flask.
• Strong data modeling and query optimization skills.
• Proficient in cloud platforms (AWS/Azure/GCP).
• Experience with containerization and orchestration (Docker/Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Ability to optimize backend performance and reliability.
• Experience with SQL and NoSQL databases.
• Good problem-solving and collaboration skills.

Responsibilities

• Design, build, and maintain scalable backend applications using Python.
• Create secure, high-performance REST APIs and microservices.
• Develop enterprise apps with FastAPI, Django or Flask.
• Model data schemas and optimize SQL/NoSQL queries.
• Implement event-driven backend systems for scalability.
• Deploy and manage apps with Docker and Kubernetes.
• Support cloud deployments across AWS, Azure or GCP.
• Develop and maintain CI/CD pipelines.
• Tune backend performance and troubleshoot production issues.
• Write unit and integration tests and participate in code reviews.
• Follow engineering, security and DevOps best practices.
• Collaborate with cross-functional teams to deliver reliable solutions.

Skills

Python

REST APIs

Microservices

FastAPI

Django

Flask

SQL/NoSQL

Data Modeling

Cloud

CI/CD

Performance Tuning

Unit/Integration Testing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Python Backend Engineer

Job ID: 888843

Location: Pune

Experience: 5–7 Years

Openings: 1

Job Summary

We are looking for an experienced Python Backend Engineer with strong expertise in Python, REST APIs, microservices and scalable enterprise application development. The candidate should have experience building secure, highly available and production-grade backend solutions.

Primary Skills

• Python
• FastAPI / Django / Flask
• REST APIs
• Microservices Architecture
• SQL / NoSQL Databases
• Data Modeling & Query Optimization
• AWS / Azure / GCP
• Docker & Kubernetes
• CI/CD
• Event-Driven Architecture
• Backend Performance Tuning

Key Responsibilities

• Design, develop and maintain scalable backend applications using Python.
• Build secure and high-performance REST APIs and microservices.
• Develop enterprise applications using FastAPI, Django or Flask.
• Design data models and optimize SQL/NoSQL database queries.
• Implement highly available and event-driven backend systems.
• Deploy and manage applications using Docker and Kubernetes.
• Support cloud deployments across AWS, Azure or GCP.
• Develop and maintain CI/CD pipelines.
• Perform backend performance tuning and production troubleshooting.
• Write unit and integration tests and participate in code reviews.
• Follow software engineering, security and DevOps best practices.
• Collaborate with cross-functional teams to deliver reliable production solutions.

Required Experience

• 5–7 years of Python backend development experience.
• Strong hands-on experience with Python and REST APIs.
• Experience with FastAPI, Django or Flask.
• Strong understanding of microservices architecture.
• Experience with SQL/NoSQL databases and query optimization.
• Hands-on experience with cloud platforms, Docker, Kubernetes and CI/CD.
• Good understanding of secure, scalable and highly available systems.
• Strong problem-solving and collaboration skills.

Mandatory Skills

Python | REST API | Microservices | FastAPI/Django/Flask | SQL/NoSQL | Docker | Kubernetes | Cloud | CI/CD