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Remote Backend Engineer Jobs in Toronto, ON (NOW HIRING)

Turing

Remote Backend Engineer (Python/FastAPI)

Toronto, ON · Remote

CA$200 - CA$300/hr

... engineering experience (3 years or more). * Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend ...

Lakeview Loan Servicing

Backend Engineer

Toronto, ON · Remote

CA$140K - CA$240K/yr

Overview The Backend Engineer on the AI Platform team plays a critical role in building and ... This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ...

Tucows Inc.

Senior Backend Engineer

Toronto, ON · Remote

CA$145K - CA$155K/yr

It's also why the majority of our roles are remote-first, meaning you can work from anywhere you ... As a Senior Backend Software Engineer, you will design, build, and maintain the services, databases ...

YO AI Labs

Backend Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

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 ...

DoorDash Canada

Software Engineer, Backend

Toronto, ON · On-site +1

About the Role We're looking for Backend Engineers to work on both Product and Product Platform ... Postgres, Redis, Elasticsearch, RabbitMQ) Notice to Applicants for Jobs Located in NYC or Remote ...

Pigment

Senior Backend Software Engineer

Toronto, ON · On-site +1

CA$100K - CA$180K/yr

If you're passionate about backend engineering, solving complex problems, and working on ... While most team members are based in Paris or remote, you will work alongside one Toronto-based ...

Smooth Commerce

Backend PHP Developer

Toronto, ON · Remote

CA$80K/yr

Backend PHP Developer About Smooth Commerce: Smooth Commerce is a dynamic B2B SaaS platform ... Remote, Canada-based Greater Toronto Area preferred Reporting To: Platform Architect and AI ...

YO AI Labs

Backend Developer - Remote

Toronto, ON · Remote

$80 - $120/hr

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 ...

Canals

Senior Software Engineer - Canada

Toronto, ON · Remote

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 ...

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Remote Backend Engineer information

What is a remote backend engineer?

Remote Backend Engineers are software developers who specialize in building and maintaining the server-side logic, databases, and APIs of web applications, while working from a location outside of a traditional office environment. They focus on ensuring that the application's data and processes function smoothly, securely, and efficiently. Working remotely, they collaborate with teams using digital tools to manage projects, communicate, and deploy code. This role requires strong programming skills, problem-solving abilities, and the discipline to work independently.

What are the key skills and qualifications needed to thrive as a remote backend engineer?

To thrive as a Remote Backend Engineer, you need strong programming skills in languages like Java, Python, or Node.js, along with a solid understanding of database management and software architecture. Familiarity with cloud platforms (such as AWS or Azure), version control systems (like Git), and CI/CD pipelines is typically required, and certifications in cloud computing or backend frameworks can be advantageous. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote collaboration and project delivery. These competencies enable efficient development, seamless teamwork, and the effective building and maintenance of scalable backend systems in a distributed work environment.

What are some common challenges remote backend engineers face when collaborating with distributed teams?

Remote Backend Engineers often work with colleagues across different time zones and cultures, which can make real-time communication and quick problem-solving more challenging. They may need to rely heavily on written documentation, asynchronous communication tools, and clear code reviews to ensure everyone stays aligned. Proactively reaching out, maintaining regular updates, and participating in virtual standups or sprint meetings are key strategies to overcome these challenges and foster effective teamwork.

What is the difference between Remote Backend Engineer vs Remote Software Developer?

AspectRemote Backend EngineerRemote Software Developer
Required CredentialsBachelor's in CS or related field, often with backend-specific certificationsBachelor's in CS or related field, with general programming certifications
Work EnvironmentFocus on server-side, database, and API developmentDevelops applications across front-end and back-end, often full-stack
Employer & Industry UsageTech companies, startups, SaaS providersTech, finance, healthcare, and various industries
Search & Comparison IntentLooking for specialized backend rolesSeeking broader software development roles

The main difference is that a Remote Backend Engineer specializes in server-side development, APIs, and databases, while a Remote Software Developer may work across both front-end and back-end tasks. Backend Engineers focus more on infrastructure and data management, whereas Software Developers have a broader scope in application development.

What are the most commonly searched types of Backend Engineer jobs in Toronto, ON?

The most popular types of Backend Engineer jobs in Toronto, ON are:

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

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

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

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

Remote Backend Engineer jobs near you
Infographic showing various Remote Backend Engineer job openings in Toronto, ON as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Remote Backend Engineer (Python/FastAPI)

Toronto, ON • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

CA$200 - CA$300/hr

Contractor

Medical, PTO

Posted 4 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 leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside 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 across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code across backend and frontend contexts 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 that can verify the quality of the code and identify error patterns across full-stack applications.
  • 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 building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
  • Experience deploying scalable, production-grade 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.