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Django Backend Developer Jobs Near Me

Prophecy Technologies

Python AWS Developer

Columbus, OH · On-site

$47 - $64.75/hr

The role focuses on backend services, RESTful APIs, automation, and CI/CD pipelines. The ideal ... Strong proficiency in Python , including frameworks such as Flask and Django . * Solid ...

Prophecy Technologies

Python AWS Developer

Columbus, OH · On-site

$48.50 - $67/hr

The role focuses on backend services, RESTful APIs, automation, and CI/CD pipelines. The ideal ... Strong proficiency in Python , including frameworks such as Flask and Django . * Solid ...

Diverse Lynx

Python Developer

Columbus, OH · On-site

$47 - $64.75/hr

Develop Python-based backend services that execute AI-generated DSL instructions and orchestrate ... Experience with frameworks such as FastAPI, Flask, Django, or aiohttp . * Solid understanding of ...

Varsity Tutors

Web Development Tutor

Columbus, OH · Remote

$18 - $40/hr

... back-end development with frameworks like Node.js or Django, database integration, RESTful API ... engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching full-stack ...

Deloitte

CyberArk Senior Consultant

Columbus, OH

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java ... Bachelor's degree in computer science , Engineering, Information Technology, Data Science, Applied ...

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How much do django backend developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for django backend developer in the United States is $57.73, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $68.27 per hour, depending on experience, location, and employer.
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Django Backend Developer jobs near you
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Python AWS Developer

Prophecy Technologies

Columbus, OH • On-site

$47 - $64.75/hr

Other

Posted 18 days ago

Job description

Job Summary
We are seeking a skilled Python AWS Developer to design, build, and deploy scalable, cloud-native applications on Amazon Web Services (AWS). The role focuses on backend services, RESTful APIs, automation, and CI/CD pipelines. The ideal candidate will have strong Python expertise, hands-on AWS experience, and the ability to collaborate effectively in Agile teams to deliver secure, high-performance cloud solutions.
Key Responsibilities
Application Development
  • Design, develop, test, and maintain backend cloud applications, APIs, and microservices using Python.
  • Build scalable and reusable components following clean code and best practices.
AWS Implementation
  • Develop and deploy solutions using AWS services such as:
  • Lambda, S3, EC2, IAM, CloudWatch
  • Container-based solutions using Docker and ECS
  • Design cloud architectures that are secure, scalable, and cost-efficient.
Automation & CI/CD
  • Create data pipelines and automate workflows.
  • Implement and maintain CI/CD pipelines for continuous integration and deployment.
  • Support infrastructure automation (Terraform is a plus).
Collaboration
  • Work closely with DevOps, front-end, and product teams to gather requirements and deliver features.
  • Participate in Agile ceremonies and contribute to sprint planning and delivery.
Code Quality & Best Practices
  • Write clean, efficient, and testable Python code.
  • Conduct and participate in code reviews.
  • Follow software engineering best practices and standards.
Maintenance & Optimization
  • Monitor, troubleshoot, and optimize cloud applications for:
  • Performance
  • Security
  • Reliability
  • Cost efficiency
Essential Skills & Qualifications
  • Strong proficiency in Python, including frameworks such as Flask and Django.
  • Solid understanding of AWS core services and cloud architecture.
  • Experience building and consuming RESTful APIs.
  • Hands-on experience with databases:
  • Relational: Amazon RDS
  • NoSQL: Amazon DynamoDB
  • Experience with Git for version control.
  • Hands-on exposure to Docker and CI/CD tools.
  • Strong understanding of Agile development and microservices architecture.
Desirable Skills
  • Container orchestration knowledge (Docker, Kubernetes).
  • Front-end basics (JavaScript, HTML).
  • Data engineering or data science exposure (Pandas, NumPy).
  • Infrastructure as Code experience (Terraform).

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