Python Solution Architect

• Architect scalable, efficient, and high-performance Python-based applications.
• Design microservices architecture and cloud-native solutions using Python frameworks (e.g., Django, Flask, FastAPI).
• Ensure Python solutions align with business goals and enterprise architecture.
• Design and manage RESTful APIs and web services, leveraging Python's capabilities.
• Expertise in selecting the right Python frameworks, libraries, and tools for different use cases.
• Architect and optimize database interactions, including SQL and NoSQL databases.
• Ensure efficient data processing, ETL pipelines, and integrations with data analytics platforms (e.g., Pandas, NumPy, SQLAlchemy).
• Design seamless integrations with third-party services, APIs, and external systems using Python-based solutions.
• Ensure smooth data flow between Python applications and other enterprise systems.
• Architect solutions in cloud environments (AWS, GCP, Azure) using Python.
• Implement CI/CD pipelines for Python projects and manage infrastructure-as-code (Terraform, Ansible).
• Ensure security best practices in Python code (e.g., OWASP, cryptography, input validation).
• Lead efforts to comply with data protection and regulatory requirements in Python solutions.
• Provide guidance to Python developers on architectural decisions, design patterns, and code quality.
• Mentor teams on Python best practices, writing clean, maintainable, and efficient code.
• Work closely with customers, business analysts, project managers, and development teams to understand requirements.
• Communicate complex technical concepts to non-technical stakeholders.

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.