Python Lead

Armakuni; Ahmedabad District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Armakuni in Ahmedabad, India seeks a Lead Software Engineer with 6+ years of experience to lead and mentor a development team.

You will own architecture, design, and development of scalable, AI/ML-enabled applications, with hands-on coding and leadership. Strong cloud, microservices, and DevOps focus with modern tech stack expected.

Qualifications

• 5+ years of Python development with leadership capabilities.
• Deep expertise in Django, Flask, and FastAPI.
• Strong knowledge of AWS and serverless architectures.
• Experience with microservices, containers (Docker, Kubernetes), and API integrations.
• Advanced knowledge of SQL and NoSQL databases, ORMs (SQLAlchemy, Django ORM).
• Proficiency in authentication, authorization, and scalable design.
• Strong unit testing, debugging, and performance optimization.

Responsibilities

• Lead end-to-end architecture, design, and development of scalable, high-performance applications.
• Design and implement low-latency, high-availability, and distributed systems for AI/ML-based applications.
• Ensure best practices in microservices, multi-tenant architecture, and event-driven programming.
• Drive cloud-native solutions across AWS leveraging serverless computing (AWS Lambda).
• Optimize database performance and implement efficient data modeling with SQL (PostgreSQL) and NoSQL (DynamoDB, MongoDB).
• Architect and develop secure, modular, and reusable code following SOLID principles and design patterns.

Skills

Python

Django

Flask

FastAPI

AWS

Docker

Kubernetes

SQLAlchemy

Django ORM

Unit testing

Tools

Jenkins

GitLab CI/CD

Terraform

PostgreSQL

DynamoDB

MongoDB

Job description

Job Summary

We are seeking an experienced Lead Software Engineer with 6+ years of expertise in designing, implementing, and scaling solutions. This role requires strong leadership, hands-on development, and architectural skills to drive technical excellence and mentor the development team.

Key Responsibilities

Technical Leadership & Architecture

• Lead the end-to-end architecture, design, and development of scalable, high-performance applications using Python (Django, Flask, FastAPI).
• Design and implement low-latency, high-availability, and distributed systems for AI/ML-based applications.
• Ensure best practices in microservices, multi-tenant architecture, and event-driven programming.
• Drive cloud-native solutions across AWS leveraging serverless computing (AWS Lambda).
• Optimize database performance and implement efficient data modeling with SQL (PostgreSQL) and NoSQL (DynamoDB, MongoDB) databases.
• Architect and develop secure, modular, and reusable code following SOLID principles and design patterns.

Project Delivery & Development

• Collaborate with stakeholders to define technical solutions, ensuring alignment with business goals.
• Oversee integration of multiple data sources, APIs, and third-party libraries into a unified system.
• Enhance DevOps and CI/CD pipelines using Docker, Kubernetes, Jenkins, GitLab CI/CD.
• Lead performance tuning and debugging, ensuring smooth application execution.

Team Leadership & Mentorship

• Mentor and guide junior and senior developers, fostering a culture of technical excellence.
• Conduct code reviews, best practice sessions, and knowledge-sharing workshops.
• Drive Agile/Scrum methodologies for efficient project delivery.

Must-Have

Skills & Qualifications

• 5+ years of experience in Python development with strong leadership capabilities.
• Deep expertise in Django, Flask, and FastAPI frameworks.
• Strong knowledge of cloud technologies (AWS) and serverless architectures.
• Experience with microservices, containerization (Docker, Kubernetes), and API integrations.
• Advanced knowledge of SQL and NoSQL databases, ORMs (SQLAlchemy, Django ORM).
• Proficiency in authentication, authorization, and scalable application design.
• Strong skills in unit testing (pytest, unittest), debugging, and performance optimization.

Preferred

• Experience with AI/ML model deployment and big data frameworks (Apache Kafka, Spark).
• Familiarity with front-end technologies (React, Vue, HTML/CSS/JS).
• Expertise in CI/CD automation, Infrastructure as Code (Terraform, CloudFormation).