Python Solution Architect - Flask/Django Frameworks

Job Description :

Key responsibilities :

- Design end-to-end solutions using Python as the primary programming language.

- Ability to design and implement solutions on low code and no code platforms.

- Collaborate with cross-functional teams to understand project requirements and develop architecture plans.

- Utilize RabbitMQ and Celery for efficient task scheduling and distributed processing.

- Implement and optimize data storage and retrieval mechanisms using Elastic Search.

- Leverage expertise in Azure to design and implement cloud-native solutions.

- Integrate various Azure services to create cohesive and scalable architectures.

- 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 Required :

- 9+ Years industry experience with proven experience as a Python technical developer and Solution Architect.

- Strong proficiency in Python and experience with application development frameworks (e.g., Django, Flask).

- Experience with RabbitMQ and Celery for message queuing and distributed processing.

- Knowledge of Elastic Search for efficient data indexing and search.

- Familiarity with Kubernetes for container orchestration.

- In-depth knowledge of Azure services and solutions.

- Hands-on experience with containerization and orchestration tools, particularly Kubernetes.

- Strong understanding of microservices architecture and cloud-native development principles.

- Experience with other message queuing systems and distributed processing frameworks.

- Excellent problem-solving and debugging skills.

- Effective communication and collaboration skills.

- Experience with cloud platforms (Azure, AWS, GCP).

- Familiarity with infrastructure-as-code tools (e.g., Terraform).

- Knowledge of serverless computing and event-driven architectures

***Notice Period : Immediate preferred and can share 0-30 days.***