Senior Python Developer
2 days ago
Description :
This role is crucial for designing and implementing scalable, high-performance microservices, driving architectural standards, and integrating advanced AI/ML capabilities into our core applications.
The ideal candidate has deep expertise in Python, modern web frameworks, data modeling, and setting technical direction.
Key Responsibilities & Technical Deliverables :
Architecture & Microservices Development :
- High-Performance Backend : Design and implement highly scalable microservices and APIs primarily utilizing Python and modern, asynchronous frameworks like FastAPI. - API Governance : Take ownership of API definition, ensuring consistency and maintainability by defining and maintaining APIs using the OpenAPI Specification (OAS).
- Workflow Design : Design and implement robust workflow systems and orchestration solutions to effectively handle complex business logic and manage asynchronous data pipelines.
Data Integration & AI/ML :
- Data Modeling : Implement and optimize sophisticated ORM-based data models for both relational (SQL) and non-relational (NoSQL) databases, prioritizing performance and consistency at scale.
- Data Pipeline Build : Build secure and efficient data integration points to support business analytics and operational reporting needs.
Engineering Excellence & Mentorship :
- Technical Leadership : Provide technical mentorship and guidance to engineering teams on best practices in Python development, microservices architecture, and performance optimization.
Required Skills & Technical Expertise :
- Framework Mastery : Deep, production-level expertise with Python and modern web frameworks, specifically FastAPI (or equivalent asynchronous frameworks).
- API Standards : Proven experience defining and managing APIs using OpenAPI Specification (Swagger).
- Data Proficiency : Strong practical experience with ORM tools and designing performant data models for both SQL (PostgreSQL, MySQL) and NoSQL databases.
- Leadership : Demonstrated experience leading technical initiatives and mentoring development teams.
Preferred Skills (Advantageous) :
- DevOps : Proficiency in containerization using Docker and Kubernetes for deployment and orchestration.
- Advanced Python : Familiarity with asynchronous programming concepts (asyncio) and supporting CI/CD pipelines.
- AI Workflow : Hands-on experience integrating AI/ML models into live production environments
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