Python Application Developer

Tranzeal; Chennai District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

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

You will bring 8+ years of progressive experience, lead SDLC initiatives, and drive AI/ML integration using frameworks like TensorFlow, PyTorch, and scikit-learn. Strong knowledge of FastAPI, Django REST Framework, Flask, and microservices is essential.

Qualifications

• 8+ years in application development and systems architecture.
• Expertise in Python-centric solution design and SDLC leadership.
• Experience with AI/ML lifecycle and deployment.

Responsibilities

• Architect and deliver mission-critical enterprise Python applications.
• Lead end-to-end SDLC activities from planning to deployment.
• Integrate AI/ML models and tooling into production systems.
• Drive scalable architectures using microservices and event-driven patterns.

Skills

Python

AI/ML

FastAPI

Django REST

Flask

Microservices

Kafka

RabbitMQ

GraphQL

OOP

FP

Tools

PostgreSQL

Oracle

SQL Server

MongoDB

Elasticsearch

Redis

GitHub Copilot

Devin

Windsurf

Antigravity

Kafka

RabbitMQ

Job description

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).