ZipRecruiter

Log In

1

Internship Python Django Backend Developer Jobs in Georgia

CYNET SYSTEMS

Java with Python Developer

Alpharetta, GA · On-site

$55/hr

Build and optimize backend applications using Java and Python. * Ensure high performance and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Mastercard, Inc.

Lead Software Engineer

Atlanta, GA · On-site

... Python/Django, as well as modern front-end technologies such as Angular, React, Next.js, and ... backend services and RESTful APIs, including authentication/authorization, business logic, data ...

MasterCard

Lead Software Engineer

Atlanta, GA · On-site

Partner with Product, UX, Data & Analytics, DevOps/SRE, and other technology stakeholders to ... Python/Django, as well as modern front-end technologies such as Angular, React, Next.js, and ...

previous page

Showing results 41-60

All JobsPython Django Backend Developer JobsInternship Python Django Backend Developer JobsInternship Python Django Backend Developer Jobs in Georgia

Internship Python Django Backend Developer information

What is the difference between Internship Python Django Backend Developer vs Junior Python Developer?

AspectInternship Python Django Backend DeveloperJunior Python Developer
Required CredentialsEnrolled in or recently graduated from a related program, basic knowledge of Python and DjangoBachelor's degree in Computer Science or related field, some experience with Python and Django
Work EnvironmentInternship setting, mentorship-focused, learning-orientedEntry-level position, collaborative team environment
Employer & Industry UsageTech companies, startups, software firmsSame as internship, often transitioning to full-time roles

In summary, an Internship Python Django Backend Developer is a temporary, learning-focused role for students or recent graduates, while a Junior Python Developer is an entry-level position with more responsibilities and expectations for independent work. Both roles are common in tech industries and serve as stepping stones for a career in backend development.

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

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

What are popular job titles related to Internship Python Django Backend Developer jobs in Georgia?

For Internship Python Django Backend Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Internship Python Django Backend Developer jobs in Georgia look for?

The top searched job categories for Internship Python Django Backend Developer jobs in Georgia are:

What cities in Georgia are hiring for Internship Python Django Backend Developer jobs?

Cities in Georgia with the most Internship Python Django Backend Developer job openings:

Internship Python Django Backend Developer jobs near you
Infographic showing various Internship Python Django Backend Developer job openings in Georgia as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Agentforce AI & Cloud Backend Engineering - Atlanta, GA

Atlanta, GA • On-site

Digital Technology Solutions
See more jobs at Digital Technology Solutionsexternal

Other

Posted 14 days ago

Key responsibilities

  • Design, develop, and implement scalable AI-powered backend solutions on Google Cloud Platform.

  • Build and enhance RESTful APIs utilizing Google Cloud API Gateway and develop AI/ML data processing pipelines using Databricks.

  • Architect, develop, and optimize cloud-native microservices using Python, Cloud Run, and serverless technologies.

Job description

DTS is looking for experienced Agentforce AI & Cloud Backend Engineering for our Client position based in Atlanta, GA

Job Description:

  • Design, develop, and implement scalable AI-powered backend solutions supporting enterprise Agentforce initiatives on Google Cloud Platform.
  • Develop intelligent applications leveraging Google's Gemini API and modern AI/ML frameworks for natural language processing, automation, and generative AI use cases.
  • Architect, develop, and optimize cloud-native microservices using Python, Cloud Run, and serverless technologies to deliver secure, highly available, and scalable solutions.
  • Build and enhance RESTful APIs utilizing Google Cloud API Gateway while ensuring security, governance, and performance best practices.
  • Develop and maintain AI/ML data processing pipelines using Databricks to support model training, inference, and enterprise analytics.
  • Implement Infrastructure as Code (IaC) using Terraform and automate deployments through GitOps-based CI/CD pipelines using Azure DevOps.
  • Manage build artifacts, package repositories, and release management utilizing JFrog Artifactory.
  • Design and implement event-driven architectures using Google Pub/Sub and Kafka to enable scalable enterprise integrations.
  • Work closely with Product Owners, Data Engineering, Infrastructure, and Architecture teams to deliver business-driven AI solutions.
  • Ensure solutions adhere to Google Cloud security standards including IAM, encryption, networking, compliance, and operational excellence.
  • Participate in technical solution design, architecture discussions, code reviews, and client workshops while providing technical guidance and implementation best practices.
  • Support client engagements by contributing to technical estimations, solution design, and implementation planning for AI and cloud transformation initiatives.

Basic Qualifications: (What are the skills required to this job with minimum years of experience on each)

  • Minimum 3–5 years of experience in Backend Engineering, AI/ML Engineering, Cloud Engineering, or Software Development.
  • Minimum 3 years of hands-on experience developing applications using Python.
  • Minimum 2+ years of experience designing and deploying solutions on Google Cloud Platform, including Cloud Run, GKE, BigQuery, Cloud Storage, AlloyDB, and serverless services.
  • Minimum 2 years of experience developing RESTful APIs and integrating enterprise applications using Google Cloud API Gateway.
  • Minimum 2 years of experience implementing AI/ML or data engineering solutions using Databricks.
  • Experience implementing Infrastructure as Code using Terraform.
  • Experience building CI/CD pipelines utilizing GitOps methodologies, Azure DevOps, and JFrog Artifactory.
  • Experience working with messaging and event streaming technologies such as Google Pub/Sub and Kafka.
  • Strong understanding of Google Cloud Platform IAM, cloud networking, encryption, security, and governance best practices.
  • Excellent analytical, troubleshooting, communication, and stakeholder collaboration skills.
  •  

Travel

This position may require up to 20–30% travel depending on client engagements, project requirements, and business needs.

Degree

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Nice to Have (But Not Required)

  • Experience with Salesforce Agentforce or enterprise AI platforms.
  • Experience working with Google's Gemini models or other Generative AI technologies.
  • Knowledge of MLOps frameworks and model lifecycle management.
  • Experience with Kubernetes and container orchestration.
  • Consulting or client-facing implementation experience.
  • Technical leadership or project coordination experience. 

DTS offers excellent compensation package.


Contact:

Ajay Bharbutta

Digital Technology Solutions

Apply