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Remote Python Django Backend Developer Jobs in Memphis, TN

Varsity Tutors

Web Development Tutor

Memphis, TN · 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 ...

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$107K - $146K/yr

You will write the Python that puts AI models to work on real production problems: reading messy ... This is a remote position; candidates in or near Memphis, TN are preferred. Core Responsibilities

Intellivo

Sr. AI/Machine Learning Engineer

Memphis, TN · Remote

$101K - $139K/yr

You will write the Python that puts AI models to work on real production problems: reading messy ... This is a remote position; candidates in or near Memphis, TN are preferred. Core Responsibilities

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How much do remote python django backend developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote python django backend developer in Memphis, TN is $144,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,300.00 and $162,700.00 per year, depending on experience, location, and employer.

What does a remote Python Django backend developer do?

A Remote Python Django Backend Developer is responsible for building and maintaining the server-side logic of web applications using the Django framework and Python programming language. They work on database management, API development, and integrating third-party services, ensuring that the backend of the application is robust, secure, and efficient. As the role is remote, developers collaborate with team members and stakeholders online, using tools for code versioning, project management, and communication. Their work enables the frontend of web applications to function properly and deliver a seamless user experience.

What are the key skills and qualifications needed to thrive as a remote Python Django backend developer?

To thrive as a Remote Python Django Backend Developer, you need strong programming skills in Python, a deep understanding of the Django framework, and experience with RESTful API design, supported by a relevant degree or proven track record. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and deployment tools like Docker or cloud services is typically required. Excellent problem-solving, self-motivation, and communication skills are crucial for collaborating with distributed teams and managing tasks independently. These skills ensure you can build robust, scalable backend solutions while working efficiently in a remote environment.

How does a remote Python Django backend developer typically collaborate with other team members in a distributed environment?

As a Remote Python Django Backend Developer, you’ll frequently collaborate with frontend developers, product managers, and QA engineers using digital communication tools like Slack, Jira, and Zoom. Regular stand-up meetings and code reviews are common practices to ensure project alignment and maintain code quality. You may also work closely with DevOps teams to deploy and maintain applications in cloud environments. Clear documentation and proactive communication are essential for effective teamwork when working remotely.

What is the difference between Remote Python Django Backend Developer vs Remote Flask Backend Developer?

AspectRemote Python Django Backend DeveloperRemote Flask Backend Developer
Required CredentialsPython proficiency, Django framework knowledge, often a degree in Computer SciencePython proficiency, Flask framework familiarity, often a degree in Computer Science
Work EnvironmentCollaborative teams, larger projects, enterprise-level applicationsSmaller projects, startups, flexible environments
Industry UsageWeb applications, content management systems, e-commerceAPIs, microservices, lightweight web apps
Search & Comparison IntentOften compared for backend frameworks, enterprise vs. lightweight projects

Remote Python Django Backend Developers typically work on larger, scalable web applications using the Django framework, which offers built-in features for rapid development. In contrast, Remote Flask Backend Developers focus on lightweight, flexible microservices and APIs, often in startup or smaller project environments. Both roles require strong Python skills and familiarity with web development, but they differ in project scope and complexity.

What are popular job titles related to Remote Python Django Backend Developer jobs in Memphis, TN?

For Remote Python Django Backend Developer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Remote Python Django Backend Developer jobs in Memphis, TN look for?

The top searched job categories for Remote Python Django Backend Developer jobs in Memphis, TN are:

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Cities near Memphis, TN with the most Remote Python Django Backend Developer job openings:

Remote Python Django Backend Developer jobs near you

Staff Software Engineer - Python / Agentic AI

Search Solutions

Memphis, TN • Remote

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

The Staff Software Engineer will be part of the new Product Engineering team tasked with designing and building the next generation of Agentic AI-powered products. Acting as the Technical Lead and Primary Architect, you will be a hands-on leader responsible for the team's overall delivery. You will lead a small team by decomposing complex product requirements into actionable tasks, providing technical mentorship, and guiding the architectural direction while remaining deeply embedded in the codebase. 


Key Responsibilities

●  Technical Execution:  Lead technical delivery by translating  high-level product roadmaps into actionable development cycles. Partner with Product Owners to define scope and ensure high-quality output through rigorous code reviews and technical mentorship

●  Transactional Microservices:  Architect and develop  high-concurrency backend services in Python (FastAPI/Django) to handle core business logic, including shopping carts, order processing, and complex transactional workflows

●  Tool Engineering for Agents  : Design and implement  "Agent-Ready" APIs using Pydantic for strict type enforcement and OpenAPI/MCP for autonomous service discovery, allowing agents to execute business actions (like placing an order) with 100% reliability.

●  Integration Frameworks:  Build and maintain secure,  scalable integration layers (OAuth2, Webhooks) to connect the platform with diverse customer ERP and procurement systems

●  Observation-Friendly APIs:  Implement advanced error-handling  and "hinting" within API responses to allow autonomous agents to self-diagnose and correct invalid requests during complex multi-step tasks

●  AI-Native SDLC:  Actively utilize autonomous coding agents to plan, generate, and test backend code, maintaining high velocity while ensuring code quality through agent-assisted peer reviews.

●  Security & Auth:  Own the implementation of secure  authorization protocols (JWT, OpenID Connect) to ensure that both humans and AI agents operate within strict permission boundaries

●  Performance Optimization:  Monitor and optimize API  latency and database query performance (PostgreSQL/MS SQL) to support real-time interaction for both web/mobile apps and high-frequency agent calls. 


Skills and Experience

Experience: 10 years of Software Engineering experience, with a proven history of leading technical squads, architecting, and building complex transactional backend systems. 

Expert mastery of Python (FastAPI, Django) and proficiency in modern Front-end frameworks (React/Typescript). 

Deep mastery of RESTful API design, specialized in Tool-Calling patterns and structured data exchange for LLMs. 

Strong SQL skills (PostgreSQL/MS SQL) and production experience with OAuth2/JWT for secure service-to-service communication. 

Experienced in working with cloud platforms (Google Cloud Platform, AWS) and deploying containerized services that are secure and scalable. 

Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.