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Full Stack Developer (Python-Heavy / Backend-Focused) (2 Positions)

PeopleNTech · Alexandria, VA

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Full Stack Developer (Python-Heavy / Backend-Focused) (2 Positions) at PeopleNTech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Client Name

Rialto Capital (Please do not post client name anywhere)

Position Title

Full Stack Developer (Python-Heavy / Backend-Focused) (2 Positions)

Location

200 S Biscayne Blvd, Miami, FL 33131, United States

Employment Type

Fulltime

Rate

$120,000 to $130,000 Base salary + $5000 Annual Performance Bonus.

Indent ID

SF_OP_203701-1

Job ID

186206

Job Description

Role Overview

We are seeking a highly skilled Full Stack Developer with deep, hands-on Python backend engineering experience as the core of the role, complemented by working proficiency in ReactJS for frontend development. This is a backend-first full-stack position — candidates must demonstrate strong depth in Python services, database design, and authentication/authorization frameworks, along with a solid understanding of AI, Agentic AI systems, and the Model Context Protocol (MCP).

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
  • Own assigned features and technical deliverables through completion, proactively communicating progress, risks, dependencies, and blockers while collaborating effectively with team members, subcontractors, and client stakeholders

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

Competencies and Interview Evaluation

Interviews will also assess these competencies through examples and scenario-based questions:

  • Ownership and Follow-Through: Completes commitments independently and takes accountability for outcomes.
  • Proactive Communication: Shares timely updates, risks, and blockers; resolves or escalates issues early.
  • Comfort with Ambiguity: Progresses independently with incomplete direction and clarifies assumptions when needed.
  • Confidence to Challenge and Clarify: Questions assumptions constructively and engages clients confidently when appropriate.
  • Professional Maturity: Works productively in any location and clearly substantiates blockers.
  • Team Collaboration: Collaborates effectively with team members, stakeholders, and subcontractors.
  • Resilience and Coachability: Accepts feedback professionally, adapts quickly, and improves prior work.

Skills

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