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Commission Backend Developer Python information
What is the difference between Commission Backend Developer Python vs Data Engineer?
| Aspect | Commission Backend Developer Python | Data Engineer |
|---|---|---|
| Required Skills | Python, API development, database management | Python, SQL, ETL processes, data warehousing |
| Work Environment | Web development, fintech, e-commerce | Data pipelines, analytics, big data platforms |
| Certifications | Python certifications, cloud platform credentials | Data engineering certifications, cloud certifications |
Commission Backend Developer Python and Data Engineer roles share skills in Python and cloud tools but differ mainly in focus: the former emphasizes API and backend development for commissions, while the latter centers on data pipelines and analytics. Both roles are common in tech and finance industries, often requiring similar credentials, but serve distinct functions within organizations.
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Job description
Job Title: Python Backend Developer
Location: Miami, FL - Hybrid
Duration: FTE
Job Description
Key Responsibilities
- Design and develop scalable, production-grade backend services using Python frameworks (FastAPI / Flask / Django)
- Architect, build, and integrate RESTful APIs and backend microservices with strong attention to performance, reliability, and security
- Design and optimize relational database structures using PostgreSQL / MySQL / SQL Server including schema design, indexing strategies, query optimization, and data modeling
- Implement robust authentication and authorization frameworks beyond basic JWT including OAuth 2.0 / OpenID Connect, SSO integrations, session management, token lifecycle (refresh/rotation/revocation), and role-based / attribute-based access control (RBAC/ABAC)
- Develop responsive frontend applications using ReactJS (Hooks, state management) to support backend-driven features
- Integrate AI and LLM-powered capabilities into backend services, including agentic workflows and tool-calling patterns
- Apply MCP (Model Context Protocol) concepts to connect AI agents with backend services, APIs, and data sources
- Collaborate with cross-functional teams on API contracts, data flows, and end-to-end feature delivery
Must-Have Skills
- Python Backend (Primary): Strong, hands-on experience building backend services with FastAPI / Flask / Django async patterns, dependency injection, middleware, API versioning, testing, and production deployment
- Databases: Deep practical experience with PostgreSQL / MySQL / SQL Server complex queries, joins, indexing, transactions, ORM usage (SQLAlchemy / Django ORM), and performance tuning
- Authentication & Security: Demonstrated depth in auth frameworks beyond JWT basics OAuth 2.0, OIDC, SSO, RBAC, secure session handling, and API security best practices
- RESTful APIs: Proven experience designing, building, and integrating REST APIs and backend services at scale
- AI / Agentic AI / MCP: Solid understanding of LLM fundamentals, agentic AI architectures (planning, tool use, multi-step workflows), and the Model Context Protocol (MCP) for agent system integration; familiarity with frameworks such as LangChain / LangGraph is a strong plus
- ReactJS (Secondary): Hands-on expertise with ReactJS Hooks, component lifecycle, and state management (Redux / Context API)
Candidate Profile Expectations
- Backend-dominant full-stack engineer: roughly 80 90% Python/backend and 10 20% React in day-to-day work, must have AI experience.
- Must be able to demonstrate, in technical conversation, real depth in Python, database design, and authentication frameworks not just frontend fluency
- Frontend-heavy profiles (e.g., 80/20 frontend/backend) will not be a fit for this role
With Regards,
Dinesh B
CS Solutions, Inc
7525 Mitchell Road, Suite 106, Eden Prairie, MN 55344
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