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Python Back Jobs in Toronto, ON (NOW HIRING)

Scotiabank

Technical Analyst (Equities)

Toronto, ON · On-site

Intermediate proficiency in Python , with the ability to independently run, modify, and ... Experience supporting deliveries spanning Front, Middle, and Back Office systems * Strong working ...

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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.
What are popular job titles related to Python Back jobs in Toronto, ON? For Python Back jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Python Back jobs in Toronto, ON look for? The top searched job categories for Python Back jobs in Toronto, ON are:
Python Back jobs near you
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.

Senior Software Engineer (Infrastructure)

d1g1t

Toronto, ON • On-site

Full-time

Re-posted 19 days ago

Job description

Salary: $120,000 - $140,000

About d1g1t
d1g1t is the leading institutional-grade enterprise wealth management platform for financial
advisors, multi-family offices, broker dealers, and bank advisor networks. d1g1t replaces
fragmented legacy systems with a unified platform that delivers advanced analytics and risk
management tools across the wealth advisory lifecycle - all through an intuitive, easy-to-use
interface. Much more than a reporting platform, d1g1t equips client-facing financial advisors,
back-office teams and senior management with operational efficiencies, portfolio
management and powerful intelligence they need in real-time. The company is led by an
experienced financial technology team who have developed leading enterprise risk and
portfolio management systems for many of the world's top investment banks, institutional
and wealth managers, hedge funds, and regulators around the world.


About the Role
As a Senior Software Engineer, you will play a key role in driving projects from
implementation to deployment, as well as maintaining current projects. You will bring your
technical expertise to the table, influencing both the engineering direction and product
decisions, while taking full ownership of your work. In this role, you will also be responsible
for troubleshooting issues, reviewing tickets, and ensuring smooth project delivery. The
ideal candidate will be highly analytical, communicative, and proactive, with a strong focus
on delivering high-quality, scalable solutions working with very large datasets.


Responsibilities
Collaborating with the Product team, understanding and shaping functional
requirements.
Designing and implementing solutions using Python, Django and other tools,
focusing on quality, performance and scalability.
Proactively driving the implementation process from conception to deployment.
Collaborating with other engineers, writing effective and well-tested code.
Maintaining and improving the existing codebase.
Providing updates about your work and giving feedback to others.


Skills
You are results-driven with a keen ability to balance practical and optimal solutions
to meet business needs effectively and on time.
Strong proficiency in Python and code-design principles.
Experience with Django or a similar web framework.

hands-on experience with AWS services, including but not limited to EC2, ECS,
Lambda, Step Functions, Bedrock, S3, CloudFormation/Terraform, and IAM. Proven
ability to design, deploy, and manage distributed systems using cloud infrastructure.
Expertise in troubleshooting and debugging large codebases and complex
systems with big datasets.
Deep understanding of relational databases, including the ability to troubleshoot
and optimize performance on large datasets.
Familiarity with REST API, PostgreSQL, Celery, Redis, Git.


Nice to Have
Experience with trading or portfolio management systems.
numpy and/or pandas and/or Polars.
Background in Math, Computer Science, Engineering or a related discipline.


Perks of Working at d1g1t
Excellent opportunity to join a fast-growing Fintech startup.
Working in a culture of collaboration and innovation where your voice is valued and
given importance.
Competitive compensation package with bonus and comprehensive healthcare
benefits.
Employee and Family Assistance Program.
Fitness and Wellness Credit.
Continuing Education Allowance.
Flexible hours and Purpose Driven Hybrid-Work policy.
Ability to work abroad for up to 2 months in a year (some conditions apply).
Mac or Windows: choose what suits you.