Freelance Python Django Developer Jobs in Toronto, ON

No two days look exactly the same, but a typical day blends hands-on development with team support and technical leadership. You’ll spend time writing code on more complex parts of the system, reviewing pull requests, and helping unblock engineers. You’ll also connect regularly with product, design, and architecture to align on priorities and make key technical decisions. 

Throughout the day, you’ll jump into problem-solving sessions, help guide approaches, and support team members through feedback and mentorship. You’ll balance staying close to the code with thinking ahead, making trade-offs, identifying risks, and ensuring the team is set up to deliver both now and over the long term.

Key Responsibilities: 

• Technical Leadership - The Tech Lead provides technical direction in partnership with the Solution Architect, guiding decisions on architecture, tooling, and overall platform design. This includes maintaining strong engineering standards and promoting best practices suited to large-scale, collaborative systems. 
• Team Collaboration -The Tech Lead fosters a collaborative and productive team environment, supporting knowledge sharing, mentorship, and strong team dynamics. They act as a key connector across engineering, product, design, and architecture to ensure alignment and progress. 
• Problem Solving - Tech Leads guide the team through complex challenges, supporting thoughtful decision-making and a strong problem-solving mindset. They remain hands-on, spending roughly 40–60% of their time coding and contributing to key parts of the platform. 
• Code Quality - Maintaining high code quality is a core responsibility. The Tech Lead drives consistent code review practices, provides clear feedback, and ensures alignment with development standards. 
• Continuous Learning - The Tech Lead promotes continuous learning and encourages the adoption of modern tools and practices, including AI-assisted development, to support efficient iteration and innovation. 
• Risk Management - They proactively identify and address technical risks related to scalability, reliability, and system design, ensuring issues are surfaced early and handled through sound engineering practices. 
• Decision Making - The role requires strong technical judgment to make clear, timely decisions, balancing short-term delivery needs with long-term sustainability. 
• Delivery Support - Tech Leads partner with Scrum Masters and product leaders to support planning and execution, helping break down work, prioritize effectively, and deliver consistent progress. 
• People Development - The Tech Lead supports the growth of engineers on the team through mentorship, feedback, and ongoing development, helping individuals build their skills and take on new challenges. 

You'll be joining Wonder, Deloitte Canada's business foundry, a team that builds and scales proprietary software products across financial services, healthcare, utilities, and more. Wonder operates like a startup with the backing of a global firm: you'll have access to enterprise relationships and Deloitte's client base, alongside the complexity that comes with it. We're building a product-led culture inside a consulting organization, and that means the role requires someone who can advocate for good product practice while being pragmatic about the environment. 

Must Have Experience 

• Minimum 5+ years of software development experience 
• Strong proficiency in Python 3.11+ with production experience building microservices. 
• Deep experience with Django 5.x and Django REST Framework, including middleware, custom permissions, migrations, and ASGI deployment. 
• Experience with PostgreSQL, including schema design, query optimization, and multi-tenant architectures. 
• Strong understanding of REST API design, OpenAPI/Swagger, and API gateway patterns. 
• Hands-on experience with core GCP services, including Cloud Run, Cloud SQL, Cloud Storage, Artifact Registry, Pub/Sub, Eventarc, and Cloud Workflows. 
• Familiarity with GCP networking and security concepts, including VPC, Cloud NAT, Private Service Access, Serverless VPC Connectors, IAM, service accounts, and Workload Identity Federation. 
• Experience with API Gateway, Cloud Load Balancer, Cloud CDN, and Cloud Armor. 
• Experience integrating LLM APIs such as Vertex AI or Gemini into backend services, including structured output and prompt engineering. 
• Familiarity with RAG pipelines, vector search, and document intelligence tools such as Google Document AI or Presidio/spaCy. 
• Proficiency with Terraform, Docker, CI/CD pipelines, and modern Python dependency management tools like uv. 
• Strong understanding of microservices architecture, event-driven systems, and multi-tenancy patterns.
• Experience with storage abstraction layers across cloud providers and cloud-native logging/observability. 
  

Nice to Haves 

• Experience with LangChain for document loading and text splitting 
• Familiarity with Cloud Workflows (YAML DSL) for multi-step job orchestration 
• Knowledge of document processing pipelines - PDF conversion, OCR, bounding-box coordinate mapping 
• Experience with MkDocs for developer documentation 
• Exposure to frontend collaboration with React/TypeScript teams 

The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.