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Temporary Full Stack Python Developer Jobs in Florida

Hillpointe

Full Stack Developer

Winter Park, FL · On-site

Full Stack Engineer Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property ... Microsoft Fabric, Power BI Premium with DAX, Python and PySpark on the data plane. * Event-sourced ...

Cruitin

Senior Software Engineer (Gen AI)

Orlando, FL · Remote

$160K - $200K/yr

... Full-stack AI Developer Location: Orlando, FL (Remote) Compensation: Base $160k-200k Requirements: Minimum * 6+ years of full-stack software development * 5+ years of recent Python, and Node.js ...

Kavaliro

Full Stack Engineer

Orlando, FL · On-site

Overview We're seeking a Full Stack Engineer with deep technical expertise across Java, C, and Python to design, develop, and maintain scalable applications that power our next-generation products ...

Kalera

Full-Stack Developer

Orlando, FL · On-site

Description Full stack .NET developer We are looking for experienced and ambitious .Net Developer to join our team. As a full stack .NET Developer you will be involved in development, coding ...

Kalera

Full-Stack Developer

Orlando, FL

Full stack .NET developer We are looking for experienced and ambitious .Net Developer to join our team. As a full stack .NET Developer you will be involved in development, coding, customization ...

Deloitte

Manager - GenAI Full Stack Developer

Tampa, FL · On-site

Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ... Full stack engineering * JavaScript/TypeScript * HTML/CSS plus SASS/LESS * UI/UX design principles ...

Deloitte

Manager - GenAI Full Stack Developer

Miami, FL · On-site

Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ... Full stack engineering * JavaScript/TypeScript * HTML/CSS plus SASS/LESS * UI/UX design principles ...

Donato Technologies, Inc

Full Stack Developer

Miramar, FL · On-site

$48 - $52/hr

Full Stack Developer Location: Miramar, FL - 4x a week onsite and remote Fridays Duration: 1 year -Must be able to convert to an FTE Top Requirements • Participate in the design and delivery of ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Job Summary We are seeking a versatile Full-Stack AI Engineer with strong expertise in both backend ... Strong backend experience with Python * Hands-on experience with React and TypeScript * Solid ...

VTG

Associate Software (Full-Stack) Developer

Orlando, FL · On-site

$85K - $115K/yr

This role sits at the intersection of data engineering, full-stack development, and mission ... Develop backend services and APIs using Python * Integrate structured and unstructured data sources ...

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Temporary Full Stack Python Developer information

What is the difference between Temporary Full Stack Python Developer vs Temporary Front End Developer?

AspectTemporary Full Stack Python DeveloperTemporary Front End Developer
Required SkillsPython, JavaScript, HTML, CSS, frameworks like Django or FlaskHTML, CSS, JavaScript, frameworks like React or Angular
Work EnvironmentBackend and frontend development, full project lifecyclePrimarily UI/UX design, frontend coding
Industry UsageTech, finance, healthcare, e-commerceWeb design agencies, startups, tech companies

Temporary Full Stack Python Developers handle both backend and frontend tasks, often working with Python frameworks, while Temporary Front End Developers focus mainly on user interface and experience using HTML, CSS, and JavaScript. The roles overlap in web development but differ in scope and technical focus.

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Temporary Full Stack Python Developer jobs near you
Full Stack Developer

Full Stack Developer

Hillpointe

Winter Park, FL • On-site

Full-time

Posted 9 days ago

Job description

WHY HILLPOINTE? Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class execution.
Built on its long and proven track record of real estate development, the firm's investment approach is centered around its in-house general contracting expertise, enabling direct control of cost and delivery timeframe. For each project, Hillpointe directly controls land acquisition, land development, construction, procurement of building materials, asset management, and capital markets. This is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that has tangible impacts on day-to-day operations and contributes directly to overall success.
Full Stack Engineer
Hillpointe is hiring a Full Stack Engineer to help build HPOS, the property management platform for our vertically integrated multifamily real estate business, from scratch. This is a greenfield engineering role. You will help establish the architecture, design the data model, ship the first services, and set the patterns the rest of the platform will inherit.
Expect a zero-to-one cadence. Design an API contract in the morning, ship a Postgres migration before lunch, push a Bicep change to staging by end of day. We optimize for engineers who can hold the full stack in their head, make sound architectural decisions, and ship working software at pace.
The Role at a Glance:
  • Scope: Schema to UI: Database design, API contracts, frontend components, infrastructure. No tier is off-limits.
  • Surface: Greenfield build: Property management platform built from scratch. Multi-tenant from day one. Operator tooling, leasing, accounting, capital markets.
  • Cadence: Zero to one: Trunk-based development, short-lived branches, feature flags, working software in staging on a daily rhythm.
  • Impact: Foundational: What you ship in the first year becomes how the platform works for the next ten.

Key Responsibilities:
  • React surfaces: First-generation operator and resident-facing applications. React 18 with TypeScript, Vite, TanStack Query v5, React Hook Form, Zod. Component composition against the PDS Foundation design system. The patterns set here will be inherited by every surface that follows.
  • Service layer: TypeScript services on Node 20 LTS with NestJS or Express. OpenAPI contracts shared with the front end through code generation. JWT and OAuth flows, RBAC enforcement, structured audit logs, request-scoped tracing. The shared libraries that every future service will depend on.
  • Postgres data model: Multi-tenant schema design on Azure Database for PostgreSQL Flexible Server. Tenant isolation strategy, normalization tradeoffs, index strategy from day one, audit trails baked into the data model. Migrations through Prisma or Knex.
  • Warehouse integration: Stand up change data capture from Postgres into the Bronze layer of Enzo, our medallion warehouse. Establish read models surfaced from Gold-layer views back into product. Contract-first design with the data team.
  • Event-driven backbone: Asynchronous workflows over Azure Service Bus. Idempotent consumers, dead-letter handling, exactly-once where the business requires it. The async patterns the rest of the platform will adopt.
  • Infrastructure and Observability: Bicep modules for App Service, Functions, Container Apps, Service Bus, Key Vault, and managed identities. Multi-stage Azure DevOps pipelines. Structured logs, OpenTelemetry, and SLO definitions in place before we ever take production traffic.
  • Stack:
    • Front End: React 18 + TypeScript 5
      • React 18 with Suspense and concurrent features, TypeScript 5.x strict, Vite, TanStack Query v5, React Hook Form with Zod, the PDS Foundation design system through Figma MCP.
    • Back End: Node 20 + NestJS
      • Node 20 LTS, NestJS or Express, TypeScript strict mode, Prisma against Postgres, BullMQ on Redis for background work, OpenAPI 3.x contracts generated for both sides.
    • Data: Azure Postgres + Fabric
      • Azure Database for PostgreSQL Flexible Server, Azure Data Factory for orchestration, Microsoft Fabric lakehouse with Bronze/Silver/Gold layers, Power BI Premium, Python and PySpark on the data team.
    • Cloud: Microsoft Azure
      • App Service Premium, Function Apps, Container Apps, Service Bus with sessions, Key Vault with managed identities, Application Insights, Front Door Premium, private endpoints throughout.
    • Devops: GitHub + Azure DevOps
      • GitHub for source and PR review, Azure DevOps multi-stage YAML pipelines for CI/CD. Trunk-based development, required reviews, automated test gates, environment promotion via parameters.
    • Infrastructure: Bicep + Terraform
      • Bicep modules for first-party Azure, Terraform for cross-cloud and third-party providers. Remote state in Azure Storage with locking, drift detection in pipelines.

Qualifications:
  • Required:
    • Five-plus years in production: building web applications. You have taken a system from greenfield to production, or rebuilt the foundations of one that needed it.
    • TypeScript depth: generics, conditional types, discriminated unions, branded types. You know when to reach for them and when to stop.
    • React expertise: hooks, render optimization, error boundaries, Suspense. You can diagnose a re-render storm and you've written a custom hook that earned its keep.
    • Production Node.js: event loop awareness, streaming and backpressure, memory profiling, graceful shutdown, structured logging.
    • Relational data modeling: schema design, normalization tradeoffs, index strategy, partitioning, query plan analysis. You catch N+1 in code review.
    • API design: REST conventions, idempotency, versioning, pagination, OpenAPI specifications, authentication patterns (OAuth 2.0, JWT, session).
    • Azure or equivalent: production experience with App Service, Functions, identity, networking, observability. AWS or GCP at the same depth is fine.
    • CI/CD and IaC discipline: pipeline-as-code, environment promotion, automated test gates, infrastructure as reviewed artifacts, no clicks in the portal.
  • Preferred:
    • Postgres extensions in production: pg_stat_statements, pgvector, pgcrypto, PostGIS, logical replication.
    • Lakehouse and BI tooling at production scale: Microsoft Fabric, Power BI Premium with DAX, Python and PySpark on the data plane.
    • Event-sourced architectures, CQRS, sagas, or domain-driven design applied to a real codebase.
    • LLM-assisted engineering: Claude Code, Cursor, or retrieval-augmented internal tooling shipped to other engineers.
    • Real estate, property management, financial services, or other regulated-industry domain experience.

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