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Entry Level Python Django Backend Developer Jobs in Los Angeles, CA

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Requirements Professional experience building and operating production software systems Strong backend engineering experience with some exposure to full-stack development Proficiency in Python or Go ...

Junior UI Developer II

Los Angeles, CA

$72K - $93K/yr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Python or Java Experience with common template frameworks (django, JSP) Working knowledge of ...

You will work across modern front-end frameworks, .NET and Python back-end services, and relational ... Engineering Best Practices: Dedication to writing clean, maintainable code with unit/integration ...

... engineering) and California (sales and go-to-market). US and UK entities are both live, with international payroll run through an EOR. Stack today: Python, Django, LangChain/LangGraph, frontier model ...

Devops Enigneer/Devops运维

Los Angeles, CA · On-site

$56.75 - $77.75/hr

Strong programming skills in Python or Go. * Experience developing backend services, automation tools, or internal DevOps platforms. System Administration * Strong knowledge of Linux operating ...

Strong backend experience in Python, FastAPI, or similar service-oriented systems * Experience ... Experience in fast-moving startup environments where engineers help define the product, not just ...

Showing results 41-60

Entry Level Python Django Backend Developer information

See Los Angeles, CA salary details

$17.2K

$159.7K

$205.8K

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

As of Sep 9, 2026, the average yearly pay for entry level python django backend developer in Los Angeles, CA is $159,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $156,800.00 and $180,500.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Python Django Backend DeveloperJunior Python Developer
Required SkillsPython, Django, basic database knowledge, version controlPython, general programming, basic web development
Work EnvironmentBackend development teams, web applicationsSoftware development teams, various projects
CertificationsOptional Python/Django certificationsOptional Python certifications
Industry UsageWeb development, tech companies, startupsTech, finance, healthcare, various industries

Entry Level Python Django Backend Developers focus specifically on backend web development using Django, requiring knowledge of Python and web frameworks. Junior Python Developers have a broader scope, working on general Python programming across different projects. Both roles are entry-level, but the Django role emphasizes web backend skills, making it more specialized for web application development.

Is Entry Level Python Django Backend Developer good for backend?

An Entry Level Python Django Backend Developer role is suitable for working on server-side development, focusing on building and maintaining web application backends using Python and the Django framework. It typically requires knowledge of databases, APIs, and version control tools like Git. This position is ideal for those starting their career in backend development and gaining experience with web technologies.

Is entry level Python Django backend developer in demand?

Entry level Python Django backend developers are in demand due to the popularity of Python for web development and the widespread use of Django frameworks. Employers seek candidates with basic knowledge of Python, Django, and REST APIs, often requiring familiarity with databases and version control tools like Git. The role offers opportunities in startups and tech companies focusing on scalable web applications.

What are the most commonly searched types of Python Django Backend Developer jobs in Los Angeles, CA?

The most popular types of Python Django Backend Developer jobs in Los Angeles, CA are:

Infographic showing various Entry Level Python Django Backend Developer job openings in Los Angeles, CA as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $159,723 per year, or $76.8 per hour.

Backend Engineer - Remote

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 14 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.