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Seasonal Backend Developer Python Jobs in Tavares, FL

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AI Engineer

Orlando, FL · On-site

$90K - $150K/yr

... Python Developer, Software Engineer, Backend Developer Location: Orlando, FL Type: Full-time, on-site or hybrid Requirements: 3+ years Python, Node.js Innovative AI technology team is building ...

Cruitin

Full-stack Python Engineer

Orlando, FL · On-site

$90K - $150K/yr

Python Developer, Software Engineer, Backend Developer Location: Orlando, FL Type: Full-time, on-site or hybrid Requirements: 3+ years Python, Node.js Innovative AI technology team is building ...

Resource Point LLC

Backend Engineer Senior

Orlando, FL · On-site

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 ...

Omm IT Solutions

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 ...

XFORIA Inc

Sr Python Full Stack Developer

Orlando, FL · On-site

Job Details Sr Python FullStack Developer Fulltime / Direct Hire Lake Buena Vista FL 32830 Required ... back-end applications for large and complex datasets • Experience developing user scenarios ...

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$13.9K

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$166.2K

How much do seasonal backend developer python jobs pay per year?

As of May 30, 2026, the average yearly pay for seasonal backend developer python in Tavares, FL is $128,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $145,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Seasonal Backend Developer Python, and why are they important?

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 are Seasonal Backend Developer Python jobs?

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 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 Tavares, FL? The most popular types of Backend Developer Python jobs in Tavares, FL are:
Seasonal Backend Developer Python jobs near you
Backend Python Developer - AI/ML

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Posted 7 days ago

Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIs, Azure, 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