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Remote Python Django Backend Developer Jobs in New York, NY

Staff Backend Engineer

New York, NY · On-site +1

$210K - $260K/yr

Python (we use Python 3), strong understanding of web frameworks and APIs * Database Design ... Remote-first culture with flexible working arrangements * Small team, big impact - your work ...

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

Design and build features end-to-end across modern React frontends and Python (Django / FastAPI ... Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ...

You will develop Python services, LLM integrations, retrieval pipelines, agent workflows, APIs ... Flexible Work Arrangements, including remote options when permitted by contract * Paid Time Off and ...

Senior Backend Engineer

New York, NY · On-site +1

$190K - $230K/yr

Python (we use Python 3), strong understanding of web frameworks and APIs * Database Design ... Remote-first culture with flexible working arrangements * Small team, big impact - your work ...

Experience with Python or another language used for data and backend engineering. * Knowledge of ... Flexible Work Arrangements, including remote options when permitted by contract * Paid Time Off and ...

Showing results 41-60

Remote Python Django Backend Developer information

See New York, NY salary details

$17.5K

$162.2K

$209K

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

As of Sep 4, 2026, the average yearly pay for remote python django backend developer in New York, NY is $162,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,200.00 and $183,200.00 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 New York, NY?

The most popular types of Python Django Backend Developer jobs in New York, NY are:

What are popular job titles related to Remote Python Django Backend Developer jobs in New York, NY?

For Remote Python Django Backend Developer jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Remote Python Django Backend Developer jobs in New York, NY look for?

The top searched job categories for Remote Python Django Backend Developer jobs in New York, NY are:

What cities near New York, NY are hiring for Remote Python Django Backend Developer jobs?

Cities near New York, NY with the most Remote Python Django Backend Developer job openings:

Infographic showing various Remote Python Django Backend Developer job openings in New York, NY as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $162,172 per year, or $78 per hour.

Remote | Python Software Engineer $55-$85/hour

24-MAG LLC

Manhattan, NY • On-site, Remote

$55 - $85/hr

Full-time

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


Job description

Specialised Full-Time Consulting Opportunity for Experienced Software EngineersWe are sharing a specialised full-time consulting opportunity for experienced software engineers with strong Python development, debugging, version-control, technical documentation, and AI-assisted coding experience.

This role supports the development of advanced agentic evaluation benchmarks for frontier AI models. Selected professionals will design, implement, and review realistic multi-step software engineering tasks that test the capabilities of AI coding agents across Python development, environment setup, tooling, debugging, and technical problem-solving.

Key ResponsibilitiesSoftware Engineering Task DesignCreate realistic, multi-step software engineering challenges based on practical development workflowsDesign technically demanding problems that require implementation, debugging, environment configuration, and analytical reasoningDefine clear requirements, constraints, expected outputs, and acceptance criteriaEnsure tasks assess genuine software engineering capability rather than superficial code generationReference Solution DevelopmentBuild complete and verifiable reference solutions in PythonCreate the supporting setup, dependencies, tests, and validation checks required for each taskWrite clean, readable, and maintainable codeConfirm that solutions run reliably within the intended technical environmentDocument implementation decisions and expected behaviour clearlyAI Coding Agent EvaluationUse AI coding assistants and agent-based development tools within practical engineering workflowsEvaluate how frontier models approach complex coding and debugging tasksIdentify implementation errors, unsupported assumptions, inefficient approaches, and incomplete solutionsAnalyse where AI agents succeed, struggle, or exploit unintended shortcutsDocument failure patterns and provide evidence supporting evaluation conclusionsPeer Review & Task RefinementReview tasks and reference solutions created by other software engineering specialistsAssess clarity, correctness, difficulty, reproducibility, and technical fairnessIdentify ambiguous instructions, hidden assumptions, grading gaps, and environment issuesProvide actionable feedback that improves task quality and benchmark reliabilityCollaborate closely with researchers and fellow task authorsIdeal ProfileStrong candidates may have: At least 1 year of experience in software engineering, research engineering, or a related coding-intensive roleStrong hands-on Python scripting, implementation, and debugging skillsExperience developing clean, readable, and maintainable softwareEveryday fluency with Git, IDEs, repositories, and standard software development workflowsComfort configuring environments, dependencies, tooling, and validation processesStrong technical writing and documentation skillsAbility to work independently through ambiguous and open-ended engineering problemsReliable availability for approximately 35 hours per weekEducational BackgroundAn MSc or PhD in computer science, software engineering, another STEM discipline, or a related technical field is highly relevantEquivalent practical experience in a research-intensive or engineering-intensive role may also be consideredAcademic or professional work involving significant coding, data analysis, or technical experimentation may strengthen an applicationOpen-source contributions, technical projects, publications, or substantial software development work may also be valuableNice to HaveExperience using AI coding assistants, prompt engineering methods, or agent-based workflowsPrevious work in AI training, model evaluation, or benchmark developmentBackground authoring technical tasks, reference solutions, or grading criteriaFamiliarity with automated testing, CI/CD workflows, containers, or reproducible environmentsExperience reviewing code or technical assignments created by other engineersKnowledge of agentic AI systems and multi-step coding evaluationsStrong ability to identify edge cases, unintended shortcuts, and subtle implementation issuesExperience collaborating with AI research or evaluation teamsWhy This OpportunityApply practical software engineering expertise to frontier AI evaluationDesign realistic coding tasks grounded in professional development workflowsHelp researchers understand where advanced AI coding agents succeed and failWork across Python implementation, debugging, environment setup, and benchmark developmentCollaborate closely with AI researchers and experienced software engineersParticipate in a structured full-time remote role with competitive hourly compensationContract DetailsFull-time W-2 contingent employment opportunityFully remote within the United StatesExpected commitment of approximately 35 hours per weekCompetitive rates between $55–$85 per hour depending on expertise and project scopeIndividual tasks may require one to two days of focused engineering workWork may include task design, Python development, reference-solution creation, AI agent evaluation, peer review, and technical documentationEngagement scope and duration may evolve according to project requirements and performanceAbout the PlatformThis opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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