- 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.
