Senior Python Application Developer

Tranzeal; Chennai District; Hybrid; INR 2,280,000 - 3,800,000; Full time

Benefits offered by this job

Hybrid work model

3 days WFO per week

Job summary

Tranzeal is seeking a Senior Python Application Developer to architect, develop, and deliver enterprise Python applications in a high-performance ecosystem. This senior role requires 8+ years of progressive SDLC leadership and hands-on development.

Responsibilities include AI lifecycle work with frameworks like TensorFlow, PyTorch, and scikit-learn, plus modern frameworks (FastAPI, Django REST, Flask) and microservices patterns using Kafka/RabbitMQ and GraphQL.

Qualifications

• 8+ years of progressive experience in application development and systems architecture.

Responsibilities

• Lead architecture and deliver mission-critical Python applications.

Skills

Python

Gen AI

Docker

Kubernetes

Cloud platforms

AI frameworks

FastAPI

Django REST Framework

Flask

PostgreSQL

Oracle

SQL Server

MongoDB

Cassandra

Elasticsearch

Redis

Kafka

RabbitMQ

DDD

GraphQL

Tools

GitHub Copilot

Devin

Windsurf

Antigravity

Job description

Experience 7 to 11 Years

Notice Immediate

Location – Chennai

Working Model – Hybrid – 3 Days WFO

Budget – max 38 LPA)

Key Skills: Python , Gen AI, Docker, Kubernetes, Extensive cloud platform experience (AWS, Azure, or GCP),

Job Description :

Senior Python Application Developer We are seeking an exceptionally skilled and driven Lead Python Application Developer to architect, develop, and deliver mission-critical enterprise applications within a high-performance Python ecosystem.

8+ years of progressive experience in application development and systems architecture, with a laser focus on Python-centric solutions. Demonstrable expertise in end-to-end software development lifecycle (SDLC) leadership, from strategic planning and solution architecture to deployment and post-production optimization.

Artificial Intelligence (AI) Integration & Development: Demonstrated experience with AI/Machine Learning lifecycle, from data preprocessing and model training to deployment and monitoring, utilizing frameworks such as TensorFlow, PyTorch, Hugging Face, and scikit-learn. Practical experience integrating and leveraging advanced AI development tools and platforms (e.g., GitHub Copilot, Devin, Windsurf, Antigravity) to enhance developer productivity and code quality.

profound knowledge of modern frameworks such as FastAPI, Django REST Framework, and Flask. Mastery of enterprise-grade software architecture patterns, including Microservices, Event Driven Architectures (Kafka, RabbitMQ), Domain-Driven Design (DDD), and GraphQL. Deep understanding of Object-Oriented Programming (OOP) and Functional Programming principles.

Comprehensive hands-on experience with diverse database technologies, including advanced SQL optimization for relational databases (e.g., PostgreSQL, Oracle, SQL Server) and schema design for NoSQL solutions (e.g., MongoDB, Cassandra, Elasticsearch, Redis).

Comprehensive hands-on experience with diverse database technologies, including advanced SQL optimization for relational databases (e.g., PostgreSQL, Oracle, SQL Server) and schema design for NoSQL solutions (e.g., MongoDB, Cassandra, Elasticsearch, Redis).