Senior Python Developer

VE3; Maharashtra; On-site; INR 1,200,000 - 2,200,000; Full time

Benefits offered by this job

Cutting-edge projects

Career growth opportunities

Collaborative environment

Competitive salary

Job summary

VE3 is hiring a Senior Python Developer in Pune to design and build scalable backend services. You will implement REST APIs using Flask, FastAPI, or Django, collaborating with product managers and other developers to define requirements and mentor juniors.

The role requires 5–8 years of Python backend experience, strong PostgreSQL and MongoDB knowledge, and familiarity with Redis and Celery. Docker and cloud exposure are a plus in a dynamic GenAI/Data Engineering environment.

Qualifications

• 5–8 years of professional experience in Python backend development.
• Strong understanding of Flask; experience with FastAPI, Django, or DRF is a plus.
• Solid experience working with PostgreSQL and MongoDB.
• Familiarity with REST API development and JSON-based communication.
• Experience in building and optimizing scalable web services or microservices.
• Experience with Redis and Celery.
• Hands-on experience with version control systems such as Git.
• Exposure to GenAI or Data Engineering is a strong advantage.

Responsibilities

• Design and develop scalable backend services and RESTful APIs using Flask, FastAPI, or Django (DRF).
• Collaborate with product managers and other developers to define software requirements and mentor Jr developers.
• Develop robust integration with SQL (PostgreSQL) and NoSQL databases like MongoDB.
• Optimize performance and scalability of applications handling large volumes of data.
• Write clean, modular, and well-documented code following best practices.
• Contribute to architectural decisions and peer code reviews.
• Apply best practices in containerization (Docker), and CI/CD pipelines.
• Contribute to projects in GenAI or Data Engineering depending on team needs and your expertise.

Skills

Python backend development

Flask

FastAPI

Django/DRF

PostgreSQL

MongoDB

REST API

Redis

Celery

Git

GenAI / Data Engineering exposure

Docker

Cloud (AWS/GCP/Azure)

Pyspark

Tools

Flask/FastAPI/Django/DRF

Docker

Kubernetes

Redis

Celery

Git

PostgreSQL

MongoDB

Pyspark

Job description

Job Title: Senior Python DeveloperLocation: Pune, Maharashtra, India
Position Type: Full-time
Experience Level: 5+ years

Role Overview:

We are seeking a motivated Python Developer to join our dynamic team. The ideal candidate will have 5-8 years of experience in developing scalable applications and be proficient in Python. You will work on creating, enhancing, and maintaining innovative software solutions while collaborating with cross-functional teams to deliver exceptional results

Requirements

• Design and develop scalable backend services and RESTful APIs using Flask, FastAPI, or Django (DRF).
• Collaborate with product managers and other developers to define software requirements and mentor Jr developers.
• Develop robust integration with SQL (PostgreSQL preferred) and NoSQL databases like MongoDB.
• Optimize performance and scalability of applications handling large volumes of data.
• Write clean, modular, and well-documented code following best practices.
• Contribute to architectural decisions and peer code reviews.
• Apply best practices in containerization (Docker), and CI/CD pipelines (preferred but not mandatory).
• Contribute to projects in Generative AI (GenAI) or Data Engineering depending on team needs and your expertise.

Required Skills & Qualifications:

• 5–8 years of professional experience in Python backend development.
• Strong understanding of Flask; experience with FastAPI, Django, or DRF is a plus.
• Solid experience working with PostgreSQL and MongoDB.
• Familiarity with REST API development and JSON-based communication.
• Experience in building and optimizing scalable web services or microservices.
• Experience with redis and celery.
• Hands‑on experience with version control systems such as Git.
• Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., ETL pipelines, pandas, numpy) is a strong advantage.

Good to Have:

• Experience working with Docker and cloud platforms (AWS/GCP/Azure).
• Familiarity with tools like Pyspark
• Familiarity with ML model serving.

Benefits

• Work on cutting‑edge technologies and impactful projects.
• Opportunities for career growth and development.
• Collaborative and inclusive work environment.
• Competitive salary and benefits package.