Python Solution Architect

Ensure solutions address functional and non-functional requirements (e.g., performance, scalability, security).

Preferred Skills

• Deep knowledge of Python frameworks like Django, Flask, or FastAPI.
• Proficiency with asynchronous programming in Python (e.g., asyncio, concurrent.futures).
• Hands-on experience with designing and deploying microservices-based architectures.
• Understanding of containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong experience with AWS, GCP, or Azure for deploying and scaling Python applications.
• Familiarity with cloud services like Lambda (AWS), Cloud Functions (GCP), or similar.
• Experience with CI / CD pipelines and automation tools (e.g., Jenkins, GitLab CI, CircleCI).
• Knowledge of Infrastructure-as-Code (IaC) tools like Terraform or Ansible.
• Proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
• Experience with database optimization, indexing, and query tuning.
• Strong understanding of RESTful APIs, GraphQL, and API documentation standards (e.g., OpenAPI / Swagger).
• Experience with integrating third-party services via APIs.
• Proficient with Git, GitHub, or GitLab for version control and collaboration in Python projects.
• Familiarity with branching strategies (e.g., GitFlow) and code review practices.
• Experience with Python security tools and practices (e.g., PyJWT, OAuth2, secure coding).
• Familiarity with encryption, authentication, and data protection standards.
• Hands-on experience working in Agile environments, familiar with Scrum or Kanban.
• Ability to break down complex technical tasks into sprints and manage backlogs.
• Knowledge of popular Python AI / ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with deploying machine learning models in production environments.

Skills Required

Python, Django, Docker, Kubernetes, Aws, Gcp