Job Summary:

We are seeking an experienced Lead Software Engineer with 5+ 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, Azure, and GCP, leveraging serverless computing (AWS Lambda, Azure Functions) .
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.

Skills Qualifications: Must-Have:

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, Azure, GCP) 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) .

Python Lead

Job Description

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