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Remote Python Django Backend Developer Jobs in San Jose, CA

Staff/Senior Backend Software Engineer Full-time Hybrid SFBay Area About Us We are building the ... The remaining days are remote. The company culture emphasizes strong communication via Slack and ...

Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes ... Prior work supporting internal platforms or developer-facing tools. #LI-Hybrid Benefits & Perks: As ...

The company is growing its valued engineering team and we are looking for a skilled Senior Web3 Back E nd Engineer (fully remote role). We are seeking for a seasoned backend engineer with sharp web3 ...

The company is growing its valued engineering team and we are looking for a skilled Senior Web3 Back E nd Engineer (fully remote role). We are seeking for a seasoned backend engineer with sharp web3 ...

Python API microservice development, preferably in FastAPI * Poetry or similar for dependency ... years of backend engineering experience preferred * Comfortable with taking ownership of the ...

Design clean APIs and implement them using Python and/or Go What You Bring * 1+ years backend engineering experience in a production environment * BS/MS in Computer Science or similar technical field ...

Showing results 41-60

Remote Python Django Backend Developer information

See San Jose, CA salary details

$18.8K

$173.7K

$223.8K

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

As of Aug 12, 2026, the average yearly pay for remote python django backend developer in San Jose, CA is $173,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $170,500.00 and $196,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are the most commonly searched types of Python Django Backend Developer jobs in San Jose, CA? The most popular types of Python Django Backend Developer jobs in San Jose, CA are:
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Backend Engineer - San Francisco (Remote)

ENGenious

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

About Engenious

Engenious is a technology company building next-generation AI products that transform how people work, learn, and create.

We partner with fast-growing startups and global companies to design and scale intelligent systems - from AI-powered applications to full-stack platforms used by millions.

Our team combines deep engineering expertise with product thinking to deliver solutions that are not just technically strong, but genuinely useful.



About the Role

We're looking for a Backend Engineer to join our team and work on AI-driven products.

In this role, you will be working as part of an Engenious team embedded with one of our clients, a leading technology company building products used at global scale. You'll collaborate closely with both Engenious and client-side teams to deliver high-impact solutions.

You'll help build systems that support students throughout their writing journey - from drafting and citations to AI transparency and plagiarism detection.

This role combines backend development with practical application of modern AI technologies, and you'll be expected to actively work with AI-powered features as part of your day-to-day development.



What You'll Do

  • Build and ship end-to-end features across the high-load backend services
  • Design scalable APIs and services
  • Build and integrate AI-powered features into product workflows
  • Work with LLM-based systems and AI-driven services
  • Improve performance, reliability, and system architecture
  • Collaborate with product, design, and AI teams (both Engenious and client-side)
  • Contribute to technical decisions and engineering standards
  • Mentor engineers and support team growth



What You'll Work On

  • AI-powered writing and productivity tools
  • Systems for AI transparency and authorship clarity
  • Citation and attribution workflows
  • Plagiarism and AI-usage detection
  • Integrations with educational platforms and tools



Requirements

  • 5+ years of experience in backend development
  • Strong experience with Java and Spring Boot is a must
  • Knowledge of system scaling, REST APIs, GraphQL, microservices, and message brokers (Kafka, RabbitMQ).
  • Experience with Python
  • Strong fundamentals in algorithms and system design
  • Experience building or integrating AI-powered features (LLMs, APIs, or similar
  • Experience building and scaling production systems
  • Experience debugging complex systems
  • Strong product mindset and attention to user experience
  • Hands-on experience designing and operating WebSocket-based real-time systems at scale
  • Experience working within cross-team collaboration responsible for high-load production systems, including services serving 100,000+ users or operating at significant request-per-second scale.

Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role



Nice to Have

  • Experience working with LLMs or AI frameworks (OpenAI, Antropic), LangChain, Langraph, etc.
  • Background in high-scale applications
  • Experience mentoring or leading engineers



Contract to Full-time Conversion:

Contractor Phase

  • Hourly rate
  • Contract duration - 6-12 month
  • Potential transition timeline


Full-Time Conversion (Future Opportunity)

  • Full-Time Benefits
  • Upon successful transition to a full-time role, the position may include: Comprehensive health benefits (medical, dental, vision, mental health)
  • Paid time off and holidays
  • Parental leave
  • 401(k) / retirement options (if applicable)
  • Professional development support
  • Additional stipends (wellness, home office, etc.)



Please note: These benefits are available only upon full-time employment and are not applicable during the contractor phase.