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Remote Full Stack Django Developer Jobs in Los Alamitos, CA

Senior Full Stack Developer

Lake Forest, CA ยท Remote

$120K - $130K/yr

Gather and evaluate user requirements in collaboration with product Managers and Engineers. * Run ... Headquartered in Lake Forest, CA, PropStream currently maintains a remote and hybrid-friendly ...

Work collaboratively with DevOps, Product Design, Embedded Systems, AI/ML/Data Science, and other teams at Vocalytics. * Test and document your work. Qualifications * Bachelor's degree and/or Master ...

Work collaboratively with DevOps, Product Design, Embedded Systems, AI/ML/Data Science, and other teams at Vocalytics. * Test and document your work. Qualifications * Bachelor's degree and/or Master ...

Showing results 21-40

Remote Full Stack Django Developer information

See Los Alamitos, CA salary details

$25

$62

$90

How much do remote full stack django developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote full stack django developer in Los Alamitos, CA is $62.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.78 and $71.73 per hour, depending on experience, location, and employer.

What is a remote full stack Django developer?

A Remote Full Stack Django Developer is a software engineer who works remotely to design, develop, and maintain web applications using Django, a popular Python web framework. 'Full stack' means they handle both the front-end (user interface) and back-end (server-side logic and databases) aspects of the application. These developers often use additional technologies such as HTML, CSS, JavaScript, and REST APIs to build complete, scalable solutions. Working remotely, they collaborate with teams using online tools to ensure project success. Their role is crucial for businesses that need robust, dynamic web applications without geographical constraints.

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

To thrive as a Remote Full Stack Django Developer, you need strong proficiency in Python, Django, front-end technologies (such as JavaScript, HTML, and CSS), and experience with relational databases, often supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, deployment tools, RESTful APIs, and cloud platforms (e.g., AWS or Azure) is typically expected. Excellent problem-solving, time management, and communication skills are vital for effective remote collaboration and independent productivity. These competencies ensure efficient development of scalable web applications, seamless teamwork, and successful project delivery in distributed environments.

How does a remote full stack Django developer typically collaborate with cross-functional teams?

As a Remote Full Stack Django Developer, collaboration with designers, product managers, front-end, and back-end developers is typically facilitated through virtual meetings, project management tools, and code repositories. Communication skills are essential, as you'll need to clearly discuss requirements, propose solutions, and coordinate on project milestones. Tools like Slack, Jira, GitHub, and Zoom are commonly used to maintain alignment and ensure smooth workflows, even when team members are located in different time zones. Regular code reviews and sprint planning meetings help keep everyone on track and foster a collaborative, transparent work environment.

What cities near Los Alamitos, CA are hiring for Remote Full Stack Django Developer jobs?

Cities near Los Alamitos, CA with the most Remote Full Stack Django Developer job openings:

Infographic showing various Remote Full Stack Django Developer job openings in Los Alamitos, CA as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,472 per year, or $62.2 per hour.

Full Stack Software Engineer - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$80 - $120/hr

Full-time

Posted 8 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.