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Python Back Jobs in Toronto, ON (NOW HIRING)

Python tooling: pydantic, FastAPI, asyncio, pytest * ML and AI: PyTorch, model serving and MLOps ... Confidence to push back constructively * Strong accountability for the architecture and its ...

Rakuten is the most rewarding way to shop, giving millions of members Cash Back when they buy from ... Familiarity with modern data and ML ecosystems (Python, SQL, cloud platforms, and production ML ...

... back to its original debit, promoted via champion-challenger . * Transaction NER parser - a ... Python and SQL * Google Cloud Platform * BigQuery and modern data tooling * PyTorch, HuggingFace ...

Design and build full-stack features across our React/Next.js front-end and Python/FastAPI back-end ... back office. Born inside Deloitte and now backed by the firm, Delo is creating Deloitte 2.0: a ...

IT Lead

Woodbridge, ON ยท On-site

We need someone who can find them, fix them, and design the systems that keep them from coming back ... Light code, Python scripts, Google Apps Script, and similar. Support the accuracy and consistency ...

We need someone who can find them, fix them, and design the systems that keep them from coming back ... Light code, Python scripts, Google Apps Script, and similar. Support the accuracy and consistency ...

Design and run rigorous evals: measure quality, catch regressions, and feed results back into the ... Proficiency in Python across a broad stack - pipeline, agent, service, and instrumentation.

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Python Back information

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding often requires creativity, problem-solving, and understanding complex requirements that AI tools currently cannot replicate entirely. AI can assist programmers by automating repetitive tasks and providing code suggestions, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new tools and improving problem-solving skills can help Python coders remain valuable in the evolving tech landscape.

What is the backend for Python?

In Python development, the backend refers to the server-side code that handles data processing, storage, and application logic. Python is commonly used for backend development with frameworks like Django and Flask, which facilitate building scalable and secure web applications. Knowledge of databases, APIs, and server management is also important for Python backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

Is Python backend in demand?

Python backend development is highly in demand due to its versatility, ease of use, and extensive libraries for web frameworks like Django and Flask. Employers seek Python developers for building scalable, efficient server-side applications, often requiring knowledge of databases, APIs, and cloud deployment. The role typically offers competitive salaries and opportunities across various industries such as tech, finance, and healthcare.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
Infographic showing various Python Back job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 33% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Lead Software Architect

Providius

Hamilton, ON โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago


Job description

// About Providius

Providius has been at the forefront of innovation in the Media & Entertainment industry for over a decade, delivering solutions to complex challenges in IP media and IT infrastructure within mission-critical environments.

Headquartered in Hamilton, Ontario, Canada, we are a privately held company focused on building practical, reliable systems that solve real-world problems.

// What Weโ€™re Looking For

Weโ€™re looking for a senior technical leader to take ownership of the architecture for a significant engineering effort and turn high-level concepts into working systems.

This is not a role where everything is already defined. We need someone who can work through ambiguity, make sound architectural decisions, and determine what is actually possible, what is not, and what it will take to get there.

You will be expected to operate with a high degree of ownership and autonomy, and to act as the technical authority on architecture and system design, including the design and delivery of production-grade, AI-native solutions.

// Position Overview

You will own the technical architecture end to end: the overall system design, the data pipeline, the integration of machine learning into the product, and the technical decisions that determine whether the work holds up in production. You will inherit and evolve an existing architecture, with the current architecture lead available in an advisory capacity during a clean handover.

This role is hands-on. You will be designing systems, writing code, and working directly with real-world constraints, while setting the architectural standards and direction the team builds toward.

// Duties and Responsibilities
  • Own and evolve the end-to-end technical architecture and system design
  • Make and document key architectural decisions and the tradeoffs behind them
  • Design the data acquisition and processing pipelines that the system depends on
  • Architect how machine learning is integrated, served, and operated within production systems
  • Contribute hands-on to development, especially on the hardest and highest-risk parts
  • Set technical standards and provide architectural oversight as the team grows
  • Work through a clean handover from the current architecture lead
  • Identify risks, constraints, and tradeoffs, and communicate them clearly
  • Collaborate with engineering, product, and leadership to keep direction aligned

Requirements

// Tech Stack
  • Backend: Python, Java, C and C++
  • Python tooling: pydantic, FastAPI, asyncio, pytest
  • ML and AI: PyTorch, model serving and MLOps tooling
  • Data: PostgreSQL, TimescaleDB
  • Streaming and processing: Kafka, Flink
  • Networking and telemetry: NetFlow, sFlow, IPFIX, packet capture
  • Infrastructure: Linux (Ubuntu), Docker, CI/CD
// Domain Expertise (Highly Desirable)

Deep domain expertise is highly desirable for this role. Strong candidates will bring hands-on experience across several of the following:

  • Broadcast and AV-over-IP, including SMPTE ST 2110 and ST 2110-40 ancillary data
  • Precision timing, including PTP / IEEE 1588 and NTP
  • OT and industrial protocols, including Modbus, DNP3, and EtherNet/IP
  • High-throughput network telemetry and line-rate packet capture
  • Compliance-driven environments such as NERC-CIP, NIST, or PCI DSS
// Required Skills / Experience
  • 8+ years of software engineering experience, with significant time in an architecture or technical leadership role
  • Proven experience designing and building data-intensive and distributed systems
  • Experience designing and delivering production-grade, AI-native solutions, including integrating and operationalizing machine learning
  • Strong system design and architectural fundamentals
  • Experience leading or mentoring engineers and setting technical standards
  • Ability to operate effectively in ambiguous or evolving environments
  • Comfortable balancing hands-on work with architectural leadership
  • Strong communication skills, with the ability to clearly explain technical decisions and tradeoffs
// Nice to haves
  • Experience building or scaling new systems from early stages
  • Background in networking, real-time, or telemetry-heavy systems
  • Experience architecting ML platforms, model serving, or MLOps at scale
  • Experience working in smaller teams or startup environments
// What this Role Requires
  • Ownership and the ability to move work forward without detailed direction
  • Strong judgment in balancing speed, quality, and tradeoffs
  • A clear sense of what to rebuild versus iterate on
  • Confidence to push back constructively
  • Strong accountability for the architecture and its outcomes
// Why join Providius
  • Work on systems that operate in real-time, high-stakes environments
  • Small team with high ownership and direct impact
  • Opportunity to grow into architecture and technical leadership

Benefits

  • Dental care
  • Extended health care
  • On-site parking
  • Paid time off
  • Vision care