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Django Developer Jobs in Toronto, ON (NOW HIRING)

US Mobile

Senior Backend Engineer

Toronto, ON · On-site

CA$140K - CA$180K/yr

... Django) * Design and implement asynchronous service communication using RabbitMQ or AWS SQS/SNS ... Collaborate with Product, QA, and DevOps teams to deliver reliable and scalable features * Write ...

US Mobile

Principal Backend Engineer

Toronto, ON · On-site

CA$160K - CA$220K/yr

... Django) * Design and implement asynchronous service communication using RabbitMQ or AWS SQS/SNS ... Collaborate with Product, QA, and DevOps teams to deliver reliable and scalable features * Write ...

Passage

Staff Software Engineer

Toronto, ON · On-site

CA$150K - CA$200K/yr

Nice to haves * 8+ years of varying experiences as a Software Engineer ... Proficient in Python , Django , TypeScript , and React . * Experience with cloud platforms such as ...

Omnicom

VP, Product & Engineering

Toronto, ON

Data Engineering VP Product and Engineering, Perpetua About Flywheel Flywheel's suite of digital ... Direct experience with our stack (Python/Django, React/TypeScript) is an asset; the ability to go ...

Passage

Senior Software Engineer

Toronto, ON · On-site

CA$100K - CA$150K/yr

Nice to haves * 5+ years of varying experiences as a Software Engineer ... Proficient in Python , Django , TypeScript , and React . * Experience with cloud platforms such as ...

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Django Developer information

See Toronto, ON salary details

$34.8K

$100.8K

$155.6K

How much do django developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for django developer in Toronto, ON is $100,806.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,073.00 and $114,043.00 per year, depending on experience, location, and employer.

What does a Django developer do?

A Django Developer is a software engineer who specializes in building web applications using the Django framework, which is based on the Python programming language. Their responsibilities typically include developing server-side logic, designing and maintaining databases, creating APIs, and ensuring the performance and scalability of web applications. Django Developers often collaborate with front-end developers, designers, and other team members to deliver robust and secure web platforms. They are also responsible for writing clean, reusable code and adhering to best practices in web development.

What does a Django developer do?

As a Django developer, your job is to program applications for clients using the Django framework for the Python programming language. In this role, you may help select the resources for each project, oversee development, troubleshoot problems, and test existing code. Many Django developers also integrate data storage solutions and user-facing elements while fulfilling their duties and responsibilities. Jobs in this field are often advertised as Python developer positions because Django is only a framework, so you may need to search for the broader term to find all positions for which you qualify. Many details of this job vary by employer, so the more programming skills you have, the more likely you are to qualify for any Django developer position.

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

To excel as a Django Developer, you need a strong command of Python, web development fundamentals, and proficiency with the Django framework, typically supported by a degree in computer science or related experience. Familiarity with relational databases (like PostgreSQL or MySQL), version control systems (such as Git), and deployment tools is essential, and certifications in Python or Django can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help developers collaborate and deliver robust solutions efficiently. These skills and qualities are crucial for building secure, scalable web applications and adapting to evolving project requirements.

What are some common challenges Django developers face when working on large-scale projects?

Django Developers working on large-scale projects often encounter challenges such as managing complex database migrations, ensuring code scalability, and optimizing application performance under heavy user loads. Collaboration with front-end teams and DevOps engineers is crucial to ensure seamless integration and deployment. Staying up to date with Django's evolving framework and best practices also helps in addressing these challenges effectively.

What is the difference between Django Developer vs Python Developer?

AspectDjango DeveloperPython Developer
Primary FocusWeb development using Django frameworkGeneral programming with Python, including web, data analysis, automation
Required SkillsPython, Django, HTML, CSS, JavaScriptPython, various libraries, problem-solving skills
Work EnvironmentWeb development teams, startups, tech companiesSoftware companies, data science teams, automation projects
Common CertificationsNone specific, but Django certifications availablePython certifications (PCAP, PCPP)

While both roles require Python skills, Django Developers specialize in building web applications with the Django framework, whereas Python Developers have a broader scope, working on various Python-based projects across different domains.

Can I get a job with Django Developer?

A Django Developer role is a professional position that involves building and maintaining web applications using the Django framework and Python. Job opportunities typically require proficiency in Django, Python, and related technologies, along with a strong understanding of web development principles. Candidates often need relevant experience, a portfolio of projects, and sometimes certifications to qualify for these roles.
More about Django Developer jobs

What are the most commonly searched types of Django Developer jobs in Toronto, ON?

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

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

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

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

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

Django Developer jobs near you
Infographic showing various Django Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $100,806 per year, or $48.5 per hour.

Staff Software Engineer - AI Platform

CaptivateIQ

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 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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