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Python Django Support Jobs (NOW HIRING)

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL. * Deploy and manage cloud-native applications on AWS. * Support data pipelines/ETL, application security ...

Showing results 41-60

Python Django Support information

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$23K

$115.1K

$399.5K

How much do python django support jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python django support in the United States is $115,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $159,000.00 per year, depending on experience, location, and employer.

What is Python Django Support?

Python Django Support refers to technical assistance and troubleshooting provided for applications built using the Django web framework in the Python programming language. Support specialists help developers and organizations resolve issues related to Django installation, configuration, performance, security, and code bugs. They may also offer guidance on best practices, upgrades, and integrating third-party packages. The goal is to ensure Django applications run smoothly and efficiently in production environments.

What are the key skills and qualifications needed to thrive as a Python Django Support professional, and why are they important?

To thrive as a Python Django Support professional, you need strong proficiency in Python programming, a deep understanding of the Django framework, and a relevant degree or equivalent experience in software development. Familiarity with relational databases, code versioning tools (such as Git), and issue tracking systems like Jira is typically required. Excellent problem-solving abilities, clear communication, and patience are key soft skills for effectively assisting clients and collaborating with development teams. These skills ensure quick, accurate issue resolution and maintain the reliability and performance of Django-based applications.

What are some common challenges faced by Python Django Support professionals, and how can they effectively address them?

Python Django Support professionals often encounter challenges such as debugging complex code, handling legacy projects, and managing compatibility issues with third-party packages. Effective communication with developers and end-users is essential to quickly identify and resolve issues. Staying updated with the latest Django releases and best practices can help anticipate and prevent common pitfalls. Additionally, utilizing robust documentation and version control systems streamlines troubleshooting and collaborative problem-solving.

What are popular job titles related to Python Django Support jobs?

For Python Django Support jobs, the most frequently searched job titles are:

Python Agentic AI Engineer

Cliffside Park, NJ โ€ข On-site

2T Consulting
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Posted 15 days ago


Job description

We are seeking a Python Agentic AI Engineer to design, build, and deploy scalable AI agent and backend solutions. The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications.

Roles and Responsibilities
  • Design and develop autonomous and multi-agent solutions using Google ADK or Agent SDK.
  • Build agent workflows, tool calling, orchestration, and context management capabilities.
  • Integrate Gemini/OpenAI models using prompt engineering, function calling, structured outputs, grounding, and evaluation techniques.
  • Develop RAG solutions using embeddings and vector databases.
  • Build and integrate REST APIs, microservices, and event-driven architectures.
  • Develop scalable backend applications using Python, Django, GraphQL, and PostgreSQL.
  • Deploy and manage cloud-native applications on AWS.
  • Support data pipelines/ETL, application security, scalability, and resilience.
  • Implement AI observability, evaluation, security, governance, and guardrails.
  • Apply Domain-Driven Design (DDD), agile methodologies, testing, and code-review best practices.
  • Collaborate with product, engineering, data science, design, and business teams.
Required Skills & Experience
  • 7+ years of professional software engineering/system architecture experience.
  • Strong expertise in Python, particularly Django and GraphQL.
  • Hands-on experience with AI agent development using Google ADK or Agent SDK.
  • Strong experience with LLM integration, prompt engineering, and agent orchestration.
  • Experience with Gemini/OpenAI models, tool calling, function calling, structured outputs, and grounding.
  • Hands-on experience building RAG applications, vector databases, and embeddings.
  • Strong experience with AWS cloud-native application development.
  • Experience with REST APIs, microservices, SOA, and event-driven architectures.
  • Experience with PostgreSQL and data pipelines/ETL.
  • Knowledge of AI observability, evaluation, security, governance, and guardrails.
  • Strong understanding of scalable, resilient, and production-ready system architecture.
  • Strong collaboration and communication skills.
Preferred Skills
  • React and Apollo GraphQL
  • Domain-Driven Design (DDD)
  • Agile methodologies
  • AI evaluation frameworks
  • CI/CD and automated testing
  • Experience working in collaborative, in-person engineering environments