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Seasonal Backend Developer Python Jobs in Florida

Java Backend Developer

Sunrise, FL · On-site

$48.25 - $62.50/hr

Java Backend Developer Location : Sunrise Florida 12+ months Skills : Python, Java, JVM, Dynamic workflows Education : At least a bachelor s degree (or equivalent experience) in Computer Science ...

Senior Back-End Developer

Fort Myers, FL

$112K - $146K/yr

Strong proficiency in one or more backend programming languages, including Python or TypeScript. * Experience designing and working within cloud-based architectures; Microsoft Azure experience is ...

$120 - $190/hr

... back-end software development experience with strong proficiency in Java (primary) or Golang/Python * Bachelor's or Master's degree in Computer Science, Engineering, or a related field * Deep ...

New

Backend Engineer Senior Location: Orlando, FL Duration: Permanent Position Description: Kforce is ... Advanced proficiency in Node.js and Python * Strong grasp of API design patterns (REST, GraphQL ...

Title: Backend Engineer Location: Jupiter, FL Advance your career with Mindlance! We have been ... Strong experience with TypeScript, Node.js, Python, Angular, and NestJS. * Hands-on experience with ...

Python Developer

Orlando, FL · Hybrid

$47 - $64.75/hr

We are seeking a Python Developer to support the development of backend services and APIs within a cloud\-native AWS environment. This contract opportunity is ideal for someone who enjoys building ...

Python Developer IV

Saint Petersburg, FL · Remote

$111K - $174K/yr

Design, develop, and maintain robust backend services and APIs using Python and Django * Collaborate with cross-functional teams including frontend developers, product managers, and QA engineers to ...

Design, build and maintain scalable backend services using Python, Node and .NET. * Develop ... Knowledge of prompt engineering and LLM evaluation techniques. * Experience deploying AI ...

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Seasonal Backend Developer Python information

What is a seasonal backend developer python?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.

What are the key skills and qualifications needed to thrive as a seasonal backend developer python?

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a seasonal backend developer python, and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What is the difference between Seasonal Backend Developer Python vs Backend Developer?

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

What are the most commonly searched types of Backend Developer Python jobs in Florida?

The most popular types of Backend Developer Python jobs in Florida are:

What cities in Florida are hiring for Seasonal Backend Developer Python jobs?

Cities in Florida with the most Seasonal Backend Developer Python job openings:

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Re-posted 29 days ago


Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIsAzure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows

job Description : 

Role: Backend Python Developer – AI/ML

Orlando preferable, Las Vegas possible (Onsite)

Required Skills & Experience:

  • 5+ years of experience as a Python backend developer
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Hands n Experience with Azure 
  • Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
  • Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
  • Proven ability to deploy containerized apps using Docker, including LLM inference services and agent-based tools
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines