ZipRecruiter

Log In

2

Remote Python Django Backend Developer Jobs in San Francisco, CA

Turing

Remote Python Developer

San Francisco, CA · Remote

$200 - $300/hr

This role is ideal for engineers who have built production systems at companies like Google ... Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript ...

YO AI Labs

Backend Developer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

New

Sparks Wiz Limited

Full Stack Developer

San Francisco, CA · On-site +1

$55 - $60/hr

... Python (Django/Flask), Ruby on Rails, or Java (Spring Boot). * Database Management: * Design ... Experience with back-end technologies (Node.js, Python, Ruby, Java, etc.). * Familiarity with ...

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

Support and evolve a Python/Django IoT platform * Implement API proxy and composition patterns to ... Additional backend experience (e.g., Node.js/Express ) * Modern Java experience ( Spring Boot 3.x ...

Job Mobz

Remote Backend SWE

San Francisco, CA · Remote

Solve complex engineering problems and make sound decisions about priorities. * Collaborate closely ... Proficiency in Golang or Python (both are great). * Experience with cloudnative architectures (AWS ...

Job Mobz

Remote Backend SWE

San Francisco, CA · On-site +1

Solve complex engineering problems and make sound decisions about priorities. * Collaborate closely ... Proficiency in Golang or Python (both are great). * Experience with cloud-native architectures (AWS ...

You.com

Senior Backend Engineer

San Francisco, CA · On-site +1

This is a remote position open to candidates based anywhere in the United States. We give ... Primarily backend-focused (Python or similar), comfortable working across the stack when needed

Hubs.is

Senior Backend Engineer

San Francisco, CA · On-site +1

Collaborate with frontend, product and devops teams to ensure seamless integration. * Architect for ... Strong problem-solving skills with clear written and spoken English for remote collaboration ...

next page

Showing results 1-20

All JobsPython Django Backend Developer JobsRemote Python Django Backend Developer JobsRemote Python Django Backend Developer Jobs in San Francisco, CA

Remote Python Django Backend Developer information

See San Francisco, CA salary details

$18.9K

$174.6K

$225K

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

As of Aug 28, 2026, the average yearly pay for remote python django backend developer in San Francisco, CA is $174,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $171,400.00 and $197,300.00 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 the most commonly searched types of Python Django Backend Developer jobs in San Francisco, CA?

The most popular types of Python Django Backend Developer jobs in San Francisco, CA are:

What are popular job titles related to Remote Python Django Backend Developer jobs in San Francisco, CA?

For Remote Python Django Backend Developer jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Remote Python Django Backend Developer jobs in San Francisco, CA look for?

The top searched job categories for Remote Python Django Backend Developer jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Remote Python Django Backend Developer jobs?

Cities near San Francisco, CA with the most Remote Python Django Backend Developer job openings:

Remote Python Django Backend Developer jobs near you

Remote Python Developer

San Francisco, CA • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$200 - $300/hr

Contractor

Medical, PTO

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

Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.