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Python Backend Developer Remote Jobs in Toronto, ON

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 ...

The GIS Developer will build scalable solutions using the Esri ArcGIS platform, Python, SQL ... Support backend and full-stack development for GIS applications using modern APIs, web technologies ...

Jest) * Back-End: GraphQL (Ruby), Rails API (testing: rSpec) * ML: Python, Flask * Documentation: GraphQL Playground, Postman, Github * DevOps: AWS, Heroku, Vercel (we love Vercel!!!!) and Digital ...

Ottawa, ON (Remote) About the Role We are looking for a Senior Full-Stack Developer to join one of ... NET backend services - and includes integrations with hardware and third-party vendors (smart locks ...

Backend engineering work focused on scalability, performance, and reliability. * Own large, complex ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Participate in DevOps and infrastructure projects, including CI/CD, deployments, and monitoring ... remote startup environment. Preferred * Frontend experience with React and Vite. * Backend ...

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 ...

Showing results 41-60

Python Backend Developer Remote information

What does a Python backend developer do?

A remote Python Backend Developer designs, builds, and maintains the server-side logic of web applications using the Python programming language. They are responsible for developing APIs, managing databases, ensuring application performance, and integrating third-party services. Working remotely, they collaborate with front-end developers, DevOps, and other team members through online tools to deliver scalable and reliable software solutions.

How does a Python backend developer typically collaborate with front-end developers and other team members in a remote setting?

As a remote Python Backend Developer, you'll frequently collaborate with front-end developers, DevOps engineers, and product managers using tools like Slack, Jira, and GitHub. Regular stand-up meetings and code reviews help ensure alignment on project goals and timelines. You'll often work closely with front-end developers to design APIs, resolve integration issues, and implement new features, requiring clear communication and thorough documentation. Effective collaboration in a remote environment relies on proactive updates, responsive communication, and a strong understanding of team workflows.

What are the key skills and qualifications needed to thrive as a Python backend developer, and why are they important?

To thrive as a Python Backend Developer (Remote), you need strong proficiency in Python programming, knowledge of backend frameworks (such as Django or Flask), and experience with database management, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, RESTful API design, and cloud platforms (e.g., AWS or Azure) is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set top developers apart. These skills ensure robust, scalable backend solutions are delivered efficiently while collaborating seamlessly with distributed teams.

What is the difference between Python Backend Developer Remote vs Python Web Developer?

AspectPython Backend Developer RemotePython Web Developer
Required SkillsPython, Django/Flask, REST APIs, databasesPython, Django/Flask, HTML/CSS, JavaScript
Work EnvironmentRemote, independent or team-basedRemote or on-site, often collaborative
Industry UsageTech, startups, SaaS companiesWeb development agencies, tech firms
CertificationsPython certifications, web frameworksPython certifications, web development courses

Both roles involve Python programming and web development skills, but Python Backend Developers focus on server-side logic, APIs, and databases, often working remotely. Python Web Developers may have a broader skill set including front-end technologies and may work in various environments. The roles overlap significantly, but the backend role emphasizes server-side architecture.

How much do remote Python backend developers make?

Remote Python backend developers typically earn between $80,000 and $130,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills like Django or Flask may offer higher salaries, especially with additional certifications or cloud experience.

Is Python backend developer in demand?

Python backend developers are in high demand due to the language's versatility, ease of use, and widespread adoption in web development, data science, and automation. Many companies seek professionals skilled in frameworks like Django and Flask, along with knowledge of REST APIs and database integration, making this a strong career choice with good job prospects.

What are popular job titles related to Python Backend Developer Remote jobs in Toronto, ON?

For Python Backend Developer Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Python Backend Developer Remote jobs in Toronto, ON look for?

The top searched job categories for Python Backend Developer Remote jobs in Toronto, ON are:

Infographic showing various Python Backend Developer Remote job openings in Toronto, ON as of September 2026, with employment types broken down into 21% Internship, 58% Full Time, and 21% Contract. Highlights an 100% Remote job distribution.

Remote Senior Software Developer

Toronto, ON • Remote

Turing
IT Services • 51 - 200 employees

CA$200 - CA$300/hr

Contractor

Medical, PTO

Posted 5 days ago


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.