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Fastapi Developer Jobs in Florida (NOW HIRING)

Worky

Web Developer-P

Orlando, FL · On-site

$80 - $110/hr

AMO is looking for experienced Web Developers to work in support of Naval Air Warfare Center ... Experience with Python libraries or frameworks such as pandas, NumPy, Flask, FastAPI, Django ...

New

Kavaliro

DevOps Engineer (TS/SCI)

Sarasota, FL · On-site

$180K - $190K/yr

Development of RESTful APIs and microservices using technologies such as FastAPI or Spring Boot ... AWS DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Kubernetes Application ...

Akima, LLC

Web Developer-P

Orlando, FL · On-site

AMO is looking for experienced Web Developers to work in support of Naval Air Warfare Center ... Experience with Python libraries or frameworks such as pandas, NumPy, Flask, FastAPI, Django ...

Akima, LLC

Junior Web Developer-P

Orlando, FL · On-site

AMO is looking for experienced Web Developers to work in support of Naval Air Warfare Center ... Experience with Python libraries or frameworks such as pandas, NumPy, Flask, FastAPI, Django ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

... FastAPI/ Flask framework • Working experience in Data Processing, AI enabled workflows using ... Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • ...

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Fastapi Developer information

See Florida salary details

$12

$39

$61

How much do fastapi developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fastapi developer in Florida is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $48.32 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

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

The most popular types of Fastapi Developer jobs in Florida are:

What are popular job titles related to Fastapi Developer jobs in Florida?

For Fastapi Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Fastapi Developer jobs in Florida look for?

The top searched job categories for Fastapi Developer jobs in Florida are:

What cities in Florida are hiring for Fastapi Developer jobs?

Cities in Florida with the most Fastapi Developer job openings:

Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $82,131 per year, or $39.5 per hour.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Remote
Duration: 6 months
skill id: 10892152
Role Overview
• We are seeking a highly skilled Databricks & AI Engineer to join our growing FinOps team.
• In this role, your primary focus will be engineering-driven: building robust data ingestion pipelines in Databricks, managing massive datasets across multi-cloud environments using Lakehouse architecture, and leading our transition toward Agentic AI Proof of Concepts (PoCs).
• While this role sits within the FinOps functional area, core FinOps domain knowledge is secondary.
• We are looking for a pure technical powerhouse who can leverage Python, Databricks, and advanced AI frameworks to optimize, track, and revolutionize how we manage cloud spend.
Key Responsibilities
Data Pipeline Engineering
• Design, build, and maintain scalable, automated data ingestion pipelines to collect cloud billing, usage, and performance data from various sources in Databricks.
Big Data Processing
• Leverage Databricks (Spark/PySpark) to process, transform, and clean large-scale unstructured and structured cloud financial data.
API Integration
• Develop and maintain API integrations (specifically utilizing FastAPI) to pull data from diverse vendor platforms and internal systems.
Multi-Cloud Data Management
• Query and analyze massive datasets across AWS (Athena), GCP (BigQuery), and Azure (Data Lake & Cosmos DB).
AI & Automation Innovations
• Architect and implement next-generation Agentic AI workflows and PoCs to automate cloud cost anomalies, forecasting, and recommendations.
Version Control & DevOps
• Manage codebase integrity and CI/CD alignment using Git and its associated ecosystem.
Required Skills
Data & Systems Engineering
• Hands-on experience building production-grade data pipelines.
• Experience working natively with large datasets using distributed computing (Spark/PySpark).
Big Data Ecosystem
• Strong working knowledge of Databricks.
• Familiarity with Data Lake architecture.
• Familiarity with Medallion Architecture.
Programming & Querying
• Advanced proficiency in Python.
• Advanced proficiency in SQL.
API Development
• Proven experience creating and consuming RESTful API calls to aggregate data.
Cloud Architecture
• Solid understanding of multi-cloud platforms, specifically:
o Azure Data Lake
o Cosmos DB
o AWS
o GCP
Version Control
• Proficient with Git.
• Standard branching and collaboration workflows.
Preferred Qualifications
Agentic AI
• Hands-on experience or deep conceptual understanding of Agentic AI frameworks, specifically:
o LangChain
o LangGraph
Web Frameworks
• Experience with FastAPI.
Cloud Data Warehousing
• Experience with:
o GCP BigQuery
o AWS Athena
FinOps Familiarity
• Basic understanding of cloud economics.
• Billing structures.
• FinOps framework principles.
Skills: Digital : Databricks ~ Data Build Tool
Experience Required: 8-10

Apply