Python Architect

Role & responsibilities

• Design and architecture end-to-end solutions using Python Frameworks, UI Frameworks, Gen AI Technologies and Databases
• Strong proficiency in Python and experience with application development frameworks (e.g., Django, Flask).
• Implement and optimize data storage and retrieval mechanisms using Elastic Search.
• Experience with cloud platforms (Azure, AWS, GCP).
• Familiarity with infrastructure-as-code tools (e.g., Terraform).
• Knowledge of serverless computing and event-driven architectures
• Integrate various Azure/Google Cloud/AWS services to create cohesive and scalable architectures.
• Experience with RabbitMQ and Celery for message queuing and distributed processing •

Optimize cloud resources for performance, cost, and scalability.

• Design and implement containerized solutions using Kubernetes.
• Ensure efficient deployment, scaling, and management of containerized applications.
• Collaborate with DevOps teams to streamline the CI/CD pipeline.
• Provide technical leadership and guidance to development teams.
• Conduct code reviews and ensure adherence to coding standards.
• Mentor team members on best practices and emerging technologies.
• Analyze and resolve complex technical issues related to Python development and cloud architecture.
• Proactively identify opportunities for system enhancements and process improvements

Skills

Python with Django, flask, cloud platforms like Azure, AWS or GCP, Devops

Good to have skills: RabbitMQ, celery, terraform