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Remote Python Django Backend Developer Jobs in Toronto, ON

Whiskey Library

Senior Frontend Developer

Toronto, ON · Remote

You'll work closely with product, design, marketing, and backend engineering to transform ideas ... Strong communication skills and ability to work independently in a remote environment Preferred ...

Bridgenext

GIS Developer

Toronto, ON · Remote

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 ...

Fintros

React Developer

Toronto, ON · On-site +1

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 ...

YO AI Labs

Frontend Developer - Remote

Toronto, ON · Remote

$80 - $120/hr

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 ...

1Valet

Senior Full-Stack Developer

Toronto, ON · Remote

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 ...

Pagefreezer

Senior Software Developer (Remote)

Toronto, ON · Remote

CA$110K - CA$145K/yr

Python and supporting libraries, Angular. * Infrastructure: Cloud systems (AWS), ArgoCD , SNS, SQS ... Experienced in integrating Frontend and Backend via REST APIs with special attention to mitigating ...

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 ...

Tiny Health

Full Stack Engineer

Toronto, ON · Remote

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

Lakeview Loan Servicing

Product Engineer

Toronto, ON · Remote

CA$140K - CA$160K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $160,000 USD ... Experience building modern backend systems using Python, Go, Rust, or similar languages, including ...

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Remote Python Django Backend Developer information

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 Toronto, ON?

The most popular types of Python Django Backend Developer jobs in Toronto, ON are:

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

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

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

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

Remote Python Django Backend Developer jobs near you

Staff Software Engineer - AI Platform

Toronto, ON • Remote

CaptivateIQ
Software Development • 201 - 500 employees
Learn more about CaptivateIQexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.
 
About the Role

CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Staff Software Engineer** to set the technical strategy for our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a strategic technical leadership role with multi-year, multi-team scope. You'll define the architecture and technical direction for AI at CaptivateIQ, making decisions that have no clear answer and partnering with senior Engineering, Product, and Design leadership to shape our long-term vision. You'll be responsible for technical choices that affect the entire organization, from platform design to engineering-wide quality standards.

As the technical anchor on a small, high-impact team, you'll lead by influence across organizational boundaries. You'll drive alignment between product teams consuming the Agentic SDK and the platform capabilities we build. You'll establish the bar for engineering excellence and invest deeply in coaching P4 engineers toward staff-level impact.

This is a rare greenfield opportunity to define how AI gets built at a growing enterprise software company. You'll shape not just the technology, but the culture and practices that scale with the organization.

 
Job Location
Remote - US
 
Responsibilities
  • Set the multi-year technical strategy for AI platform development, partnering with senior EPD leadership on long-term vision
  • Architect foundational AI systems that serve multiple product teams, including LLM orchestration frameworks, MCP infrastructure, and agent patterns
  • Own technical decisions with organization-wide impact where the right answer is ambiguous or contested
  • Define engineering-wide quality standards and best practices for AI development, establishing patterns that scale across teams
  • Drive technical alignment across the Agentic SDK team and product teams consuming AI capabilities
  • Invest deeply in coaching P4 engineers, helping them develop toward staff-level scope and strategic thinking
  • Represent CaptivateIQ's technical perspective in industry discussions, open-source contributions, or technical publications
Requirements
  • 8+ years of professional software engineering experience with demonstrated progression into staff-level technical leadership
  • Deep expertise in LLM orchestration: production experience building agent frameworks, including agent design patterns, tool integration, and workflow optimization
  • Significant experience designing MCP integrations and knowledge systems at scale, including tool server architecture, embedding pipelines, and context optimization
  • Track record of setting technical strategy that spans multiple teams and multi-year time horizons
  • Experience partnering with senior leadership (Directors, VPs) to align technical direction with business objectives
  • Demonstrated ability to make high-stakes technical decisions under extreme ambiguity
  • Strong mentorship track record, particularly in developing senior engineers toward staff-level impact
  • Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus
  • Strong proficiency in Python and experience with Django or similar backend frameworks
  • Full-stack capabilities with React and TypeScript
  • Experience building and scaling internal AI/ML platforms or developer experience infrastructure
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Deep expertise in advanced agent architectures: multi-agent coordination, autonomous planning, or complex tool    ecosystems
  • Experience with AI evaluation, observability, and production monitoring at enterprise scale
  • Published technical writing, conference talks, or significant open-source contributions in AI/ML
  • Background building AI-powered products that shipped to enterprise customers with measurable business impact
  • Experience at a B2B SaaS company during periods of significant growth or platform expansion
  • Familiarity with sales performance management, incentive compensation, or adjacent enterprise domains
Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates
  • Only emails from @captivateiq.com should be trusted.
  • We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
$181,289 - $285,272 a year
The base range represents the minimum and maximum for this position across North America. For candidates in Toronto, Canada the range is $181,289-$242,106. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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