Software development jobs in Canada

Explore software development jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 21, 2026

Hiring at a glance

View jobs

Open jobs: 4,097
Employers: 1,522

Advertised starting pay

Average starting payCAD / year: $116,384Across 444 listings
Average starting payUSD / year: $139,287Across 120 listings
Average starting payCAD / hour: $55.31Across 66 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 10%410 listings
Hybrid: 40%1,627 listings
On-site: 49%2,019 listings

Not specified: 1% (41 listings)

Employers hiring include Amazon (114), RBC (80), Genetec (63).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software development jobs in Canada

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Added 11 mins ago
Java Full Stack Developer
Viva Tech Solutions
Montreal, QC
Contract
Full-stack development, across back-end including Java, and front-end including JavaScript or Typescript, HTML5, CSS, and Angular (8, 10 or later, preferably 17).
Added 41 mins ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
Added 2 hours ago
Software Support Specialist
EventConnect
London, ON
Other
The Software Support Specialist role is part of EventConnect’s Operations team and is designed to build deep hands-on knowledge of our software, customers, and business operations through…
Added 2 hours ago
Software Developer - Full Stack - Senior - RQ11377
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Senior Full Stack Software Developer for Ministry of Public and Business Service Delivery and Procurement in a hybrid role to provide ongoing development of the Ontario…
Added 2 hours ago
Software Developer - Full Stack - Senior - RQ11377
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Senior Full Stack Software Developer for Ministry of Public and Business Service Delivery and Procurement in a hybrid role to provide ongoing development of the Ontario…
Added 2 hours ago
Software Developer - Full Stack - Senior - RQ11377
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Senior Full Stack Software Developer for Ministry of Public and Business Service Delivery and Procurement in a hybrid role to provide ongoing development of the Ontario…
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Software Developer – CRM – Intermediate - RQ10976
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Intermediate with strong Oracle Siebel CRM development, configuration, integration, testing, and reporting experience. The ideal…
Added 2 hours ago
Software Developer - Junior - RQ11579
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Junior Software Developer for Ministry of Public and Business Service Delivery and Procurement in an onsite role to provide Oracle software development support and application…
Added 2 hours ago
Software Developer - Junior - RQ11579
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Junior Software Developer for Ministry of Public and Business Service Delivery and Procurement in an onsite role to provide Oracle software development support and application…
Added 2 hours ago
Java Full Stack Developer – Angular
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced Java Full Stack Developer – Angular with 8+ years of full-stack development experience. The ideal candidate will have strong expertise in Java, Spring Boot,…
Added 2 hours ago
Software Developer - Junior - RQ11579
S M Software Solutions Inc
Toronto, ON
Full-time
We're hiring Junior Software Developer for Ministry of Public and Business Service Delivery and Procurement in an onsite role to provide Oracle software development support and application…
Added 2 hours ago
Java Full Stack Developer – Angular
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced Java Full Stack Developer – Angular with 8+ years of full-stack development experience. The ideal candidate will have strong expertise in Java, Spring Boot,…
Added 2 hours ago
Software Developer – CRM – Intermediate - RQ10976
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Intermediate with strong Oracle Siebel CRM development, configuration, integration, testing, and reporting experience. The ideal…
Added 2 hours ago
Software Developer – CRM – Intermediate - RQ10976
S M Software Solutions Inc
Toronto, ON
Full-time
We are looking for an experienced Software Developer – CRM – Intermediate with strong Oracle Siebel CRM development, configuration, integration, testing, and reporting experience. The ideal…
Added 2 hours ago
Java Full Stack Developer – Angular
S M Software Solutions Inc
Mississauga, ON
Full-time
We are seeking an experienced Java Full Stack Developer – Angular with 8+ years of full-stack development experience. The ideal candidate will have strong expertise in Java, Spring Boot,…
Added 3 hours ago
Principal Software Developer
Apexa
Remote, Canada
Full-time · Remote
…professionals, service providers, Advisors, and a top-tier development team dedicated to innovation and…
Added 3 hours ago
Staff AI Software Engineer
Qualcomm
Markham, ON
Full-time
Added 4 hours ago
Senior Full Stack Developer (Global Security)
RBC
Toronto, ON
Full-time
The Security Insights & AI - Digital Development team is building production-grade applications within Global Cyber Security. Our team designs, architects, and builds bespoke solutions…
Added 4 hours ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
Added 6 hours ago
Software Developer – Siebel, OBIEE, PowerBI, Adobe AEM, J2EE, EIM/EAI, Integration, Report Development, Public Sector Experience
CCI- Computer Consultants International, Inc.
Toronto, ON
Contract
resolving and troubleshoots technical problems which arise during the use and operation of software packages, including technical assistance in implementation, conversion and
Added 6 hours ago
Software Developer | Java, Oracle, SQL, RestAPI, Security Protocols | Evaluation: Technical & Soft Skills
CCI- Computer Consultants International, Inc.
Toronto, ON
Contract
Resolves and troubleshoots technical problems which arise during the use and operation of software packages, including technical assistance in implementation, conversion and
Added 7 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Added 8 hours ago
Senior Cloud Engineer – Google Cloud Platform Firebase (35740)
Myticas Consulting
Toronto, ON
Contract
Added 8 hours ago
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
Full-time
Added 9 hours ago
Software engineer
ENGICO s.r.l.
Engineer, BC
Contract
The figure will be responsible for programming and developing software for PLC and Motion Control systems.

Morningstar

Senior software engineer: Applied AI

Toronto, ON, Canada

Pay: $90,489.00-$132,711.00
Job type: Full-time
Apply by: Oct 18, 2026
Experience: 5+ years of software engineering experience, including production API and data-pipeline design.
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Morningstar

Morningstar unites problem solvers with a clear goal: helping investors achieve their financial objectives. As a leading investment research and data company, we stand out by how we apply our insights to serve a broad range of users. Our independent investment research, powered by cutting-edge technology and design, provides tailored solutions that meet users' needs. With a strong foundation in data and innovation, we deliver comprehensive services to investors worldwide, empowering better decisions for individuals and those managing money for millions.

 

The Role

We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces, and evaluation frameworks that make AI-driven products reliable enough to depend on. This is applied engineering rather than research; success is measured in shipped, maintainable systems. You may be a strong fit if you love working within a landscape that changes quickly, creating durable architectures with swappable parts, so new models and techniques are adopted on evidence.

The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data enrichment. It also requires the engineering rigor to establish reliable sources of truth, detect regressions, and recognize when a deterministic solution is more appropriate than an AI-driven one.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

This position is based in our Toronto office. We follow a hybrid policy of at least 4 days onsite.

 

Job Responsibilities

Integrate with hosted LLM inference (via centralized model gateway infrastructure) for extraction, classification, and agent orchestration workloads; evaluate open-weight models against hosted options for cost and performance tradeoffs.
Design and maintain adapters that sync source systems (CMS, event platforms, editorial, research libraries) into a governed dataset without duplicating source-of-record logic.
Build and maintain an eval harness: curate golden questions, catch regressions before release, and treat eval results as the gate for shipping.
Design MCP tools and API/GraphQL interfaces that separate "fuzzy" retrieval (ranked candidates, confidence scores) from "exact" governed lookups (deterministic, provenance-carrying).
Build and extend the pipeline that validates, resolves, and versions governed entities into a serving layer.
Design and operate LLM-driven extraction and classification agents that propose structured data for human review rather than auto-publishing unreviewed AI output.
Own structured content modeling against a headless CMS, including schema and versioning decisions that other teams depend on.
Instrument pipelines and served surfaces for freshness, adoption, and answer-quality telemetry.
Participate in and help run the weekly eval review and the biweekly skill-library session, harvesting reusable agent tooling for the team.
Mentor engineers being reskilled into applied AI work, particularly around eval design and agentic-coding practices.
Contribute governance and vocabulary decisions upstream to org-wide standards where relevant, rather than duplicating them.

 

Qualifications

5+ years of software engineering experience, including production API and data-pipeline design.
Comfort working with agentic coding tools daily as a core part of the workflow.
Hands-on production experience integrating LLMs: Skills, MCP, RAG, structured outputs, and tool/function calling.
Strong proficiency in Python across eval tooling, service-level code, and API development (FastAPI or similar), plus working proficiency in TypeScript/Node.js for application integrations.
Experience deploying and operating production services in AWS (or equivalent), including containerized workloads and infrastructure-as-code.
Security and privacy judgment in AI systems: handling sensitive data appropriately, and designing against failure modes like prompt injection, data leakage through prompts, and unsafe or unattributed model output.
Experience operating production systems against latency, reliability, and cost targets, including token-cost management for inference workloads.
Evaluation literacy: you can describe an eval you built, what it caught, and how you handled canonical truth, variance, and regression cases.
Experience with REST/GraphQL API design.
Solid understanding of data pipeline patterns: idempotency, versioning, and staged architectures.
Explicitly not required: formal model training or ML research credentials (e.g., pretraining, fine-tuning research). This is an applied systems role; we're looking for builders, not researchers.
Strong written communication. You can write a clear design doc, explain a tradeoff to a non-engineer, and document decisions others will build against.
Creative problem solver comfortable operating in ambiguity, with a builder's bias toward shipping over ceremony.

 

Nice to have

Experience evaluating or benchmarking open-weight models for cost/performance (inference-time evaluation, not training).
Experience with cloud-hosted inference services (e.g., Amazon Bedrock, Azure AI/Cognitive Services) and centralized LLM gateways (e.g., LiteLLM).
Experience with headless CMS platforms and structured content modeling.
Experience in a regulated or compliance-sensitive domain where provenance and auditability matter.

Base Salary Compensation Range

$90,489.00-$132,711.00

Incentive Target Percentage

12.5% Annual

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

100_MstarResCanad Morningstar Research, Inc. (Canada) Legal Entity

Apply About employer

More about this job

Responsibilities

You will build and maintain applied AI systems, including data pipelines, LLM integrations, and agentic workflows to bring AI capabilities into production. Responsibilities also include designing evaluation harnesses, managing structured content, and mentoring engineers on applied AI practices.

Requirements

Candidates must have 5+ years of software engineering experience with strong proficiency in Python and production API design. Hands-on experience with LLM integration, cloud infrastructure, and data pipeline patterns is required, along with the ability to operate in a hybrid, Toronto-based environment.

Skills

Python
TypeScript
Node.js
LLM integration
RAG
FastAPI
AWS
GraphQL
REST API
Data pipelines
Agentic workflows
Cloud architecture
Infrastructure-as-code
Containerization
Evaluation design
Structured content modeling

Benefits

Hybrid work environment
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Applied AI
LLM
Python
TypeScript
Node.js
FastAPI
AWS
GraphQL
REST
Data Pipelines
Agentic Workflows
RAG
MCP
Infrastructure-as-code
Containerization
Cloud Architecture
Telemetry
Headless CMS
Structured Content Modeling
Governance
Evaluation Harness
Prompt Engineering
Token-cost Management
Idempotency
Version Control
Financial Services
Investment Research
API Design
System Architecture

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