Job
Description
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) .
