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Associate Fastapi Jobs in Columbus, OH (NOW HIRING)

... Engineer Associate] is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and relational databases - Writing and maintaining FastAPI endpoints for applications ...

Associate Fastapi information

See Columbus, OH salary details

$10

$19

$32

How much do associate fastapi jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for associate fastapi in Columbus, OH is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate FastAPI Developer, and why are they important?

To thrive as an Associate FastAPI Developer, you need a strong understanding of Python programming, RESTful API design, and experience with the FastAPI framework, often supported by a relevant degree or coding bootcamp. Familiarity with databases (like PostgreSQL or MongoDB), version control systems (such as Git), and containerization tools (like Docker) is typically expected. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and deliver robust solutions. These skills ensure efficient, scalable API development and seamless integration within modern software engineering environments.

What is an Associate FastAPI developer?

An Associate FastAPI developer is an entry- to mid-level software professional who specializes in building web applications and APIs using FastAPI, a modern Python web framework. Their responsibilities often include developing endpoints, integrating databases, writing unit tests, and maintaining code quality. They typically work as part of a larger development team, assisting in the design and implementation of scalable and high-performance web services. Associate FastAPI developers are expected to have a good understanding of Python, RESTful API principles, and basic knowledge of asynchronous programming.

What is the difference between Associate Fastapi vs Associate Python Developer?

AspectAssociate FastapiAssociate Python Developer
Required CredentialsKnowledge of Fastapi, Python, REST APIsProficiency in Python, basic web frameworks
Work EnvironmentBackend development, API design, cloud deploymentApplication development, scripting, software projects
Employer & Industry UsageTech companies, startups, SaaS providersSoftware firms, tech departments, startups
Common Search & ComparisonYesYes

The main difference between an Associate Fastapi and an Associate Python Developer lies in their focus areas. An Associate Fastapi specializes in building APIs using the Fastapi framework, requiring specific knowledge of Fastapi and REST API design. In contrast, an Associate Python Developer has broader Python programming skills applicable to various software development tasks. Both roles are common in tech environments, but Fastapi roles are more specialized towards API development and deployment.

What are common challenges faced by an Associate FastAPI Developer, and how can I prepare for them?

As an Associate FastAPI Developer, you may encounter challenges such as understanding asynchronous programming patterns, integrating FastAPI with various databases, and ensuring robust API documentation. It's also common to collaborate closely with frontend teams and DevOps engineers, which requires clear communication and an understanding of deployment workflows. To prepare, familiarize yourself with Python async features, explore automated API documentation tools like Swagger, and practice deploying FastAPI applications in cloud or containerized environments.
What are the most commonly searched types of Fastapi jobs in Columbus, OH? The most popular types of Fastapi jobs in Columbus, OH are:
Software Engineer III - Python Backend, AI/ML Platforms on AWS

Software Engineer III - Python Backend, AI/ML Platforms on AWS

Chase

Columbus, OH • On-site

Full-time

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


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Software Engineer III

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Software Engineer III at JPMorgan Chase within the Cybersecurity Technology & Controls, you will join a team building model serving and agentic AI platforms on AWS.

Job responsibilities

  • Work with AWS services including Lambda, API Gateway, ECS, RDS/Aurora, DynamoDB, S3, and CloudWatch
  • Develop backend services using Python (FastAPI, Flask) for model APIs, agent integrations, and automation workflows
  • Contribute to building AI agent features and intelligent automation components
  • Integrate LLM APIs (Amazon Bedrock, OpenAI) into backend services and workflows
  • Implement message queuing and event handling using Amazon SQS, SNS, Kinesis, or Kafka (MSK)
  • Assist in building model deployment pipelines and infrastructure automation using AWS services
  • Write infrastructure-as-code using Terraform or AWS CloudFormation under guidance from senior engineers
  • Implement logging and monitoring using CloudWatch, X-Ray, and other observability tools
  • Write unit tests, integration tests, and participate in code reviews
  • Collaborate with ML engineers and senior developers to understand requirements and implement solutions
  • Learn and apply AWS best practices for security (IAM, VPC, Secrets Manager) and cost optimization

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience, including backend software development using Python
  • Working knowledge of AWS Cloud services with hands-on experience in at least 3-4 core services (Lambda, API Gateway, RDS, DynamoDB, S3, SQS/SNS, or CloudWatch)
  • Basic understanding of SQL databases (PostgreSQL, MySQL, or Aurora)
  • Experience building RESTful APIs and understanding of microservices principles
  • Familiarity with Docker and containerization concepts
  • Understanding of version control (Git) and basic CI/CD concepts
  • Eagerness to learn about AI/ML systems, agent-based architectures, and MLOps
  • Strong problem-solving mindset and attention to detail
  • Good communication and teamwork skills

Preferred qualifications, capabilities, and skills

  • AWS certification (Cloud Practitioner, Solutions Architect Associate, or Developer Associate)
  • Exposure to Kafka, Amazon Kinesis, MSK, or other messaging/streaming systems
  • Familiarity with LLM APIs (Amazon Bedrock, OpenAI, Anthropic) or AI frameworks (LangChain)
  • Basic understanding of ML model deployment, SageMaker, or MLOps concepts
  • Experience with Terraform or AWS CloudFormation
  • Knowledge of microservices architecture patterns and distributed systems
  • Exposure to Kubernetes (EKS) or container orchestration
  • Understanding of AWS security best practices (IAM roles, VPC, security groups)

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