Software development jobs in Toronto, ON and nearby

Software development jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Sep 25, 2026

Hiring at a glance

View jobs

Open jobs: 1,641
Employers: 568

Advertised starting pay

Average starting payCAD / year: $119,494Across 156 listings
Average starting payUSD / year: $149,013Across 46 listings
Average starting payCAD / hour: $64.30Across 40 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 48%787 listings
On-site: 51%833 listings

Not specified: 1% (21 listings)

Employers hiring include Amazon (51), RBC (44), Royal Bank of Canada (37).

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 Toronto, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 23 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Software Developer – Robotics Process Automation will be a key technical contributor responsible for designing, developing, and implementing enterprise-scale automation solutions…
Added 23 days ago
Software Development Engineer in Test(SDET)
Royal Bank of Canada
Toronto, ON
Full-time
The RBC Team is hiring for a Development role with mixed QE responsibilities within Risk IT Team. In this role, you provide support for a suite of business mission-critical and complex…
Added 28 days ago
Senior Full Stack Developer (Java And React/Angular) - Operate
Deloitte
Toronto, ON
Full-time
Added 28 days ago
Angular Front-End Developer (RxJS, NgRx, Redux) - (Future Opportunity) Operate
Deloitte
Toronto, ON
Full-time
Added 28 days ago
Software Engineer - Frontier
Deloitte
Toronto, ON
Full-time
Added 28 days ago
Senior Java Backend Developer - Operate
Deloitte
Toronto, ON
Full-time
Added 17 days ago
Associate, Software Engineer, New Grad Card Expansion
Capital One
Toronto, ON
Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad Card Expansion
Added 24 days ago
Sr. Software Developer
Open Text Corporation
Richmond Hill, ON
Other
Added 23 days ago
Senior/Staff Software Engineer - Toronto
Maxima
Toronto, ON
Full-time
Added 28 days ago
Software Engineer II
Dexian
Toronto, ON
Contract
We are seeking a motivated Software Engineer II with strong backend engineering experience to join a GovTech-focused team building scalable technology solutions that support expansion into…
Added 28 days ago
Software Verification Engineer
Systematix
Vaughan, ON
Contract
We are Systematix and we are currently looking for a Software Verification Specialist to join our client’s Product Development team on a long-term contract basis. This role is ideal for…
Added 24 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
The Senior Software Developer – Robotics Process Automation will be a key technical contributor responsible for designing, developing, and implementing enterprise-scale automation solutions…
Added 24 days ago
Software Development Engineer in Test(SDET)
RBC
Toronto, ON
Full-time
The RBC Team is hiring for a Development role with mixed QE responsibilities within Risk IT Team. In this role, you provide support for a suite of business mission-critical and complex…
Added 28 days ago
Senior Full-Stack Developer
SJC
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Added 28 days ago
Staff Software Engineer
Moody's Corporation
Toronto, ON
Full-time
Added 24 days ago
Software Engineer II, Channels
Braze
Toronto, ON
Added 28 days ago
Senior Frontend Developer
Resonaite
Toronto, ON
Full-time
Added 28 days ago
Senior Frontend Developer (React)
Phoenix (YC W21)
Toronto, ON
$125,000 to $150,000 CAD / year
Full-time
Added 28 days ago
Senior Front End Developer, React and NextJS
RAVL
Toronto, ON
Full-time
Added 24 days ago
Canada- Jr Software Engineer (SRE)
PointClickCare
Mississauga, ON
Full-time
This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex d
Added 24 days ago
Associate Software Engineer (Fullstack)
TD
Toronto, ON
Full-time
…opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been…
Added 24 days ago
Software Development Engineer, Alexa Communications
Amazon
Toronto, ON
…communication? Join our dynamic Alexa Connections team as a Software Development Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational…
Added 24 days ago
Software Development Engineer, Alexa Communications
Amazon
Toronto, ON
…communication? Join our dynamic Alexa Connections team as a Software Development Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational…
Added 24 days ago
Software Developer, Mid-Market
7shifts
Toronto, ON
As an Intermediate Software Developer, Mid-Market at 7shifts,
Added 24 days ago
Sr. Software Engineer, Backend/GraphQL
eBay
Toronto, ON
Full-time

Workday

Sr. Software Development Engineer / Principal Software Development Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 26, 2026
Posting language: English
Posted: Aug 27, 2026

Apply About employer

Applications open in a new tab.

Original job description

About the Team

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the gateway to vendor-hosted LLMs on GCP and AWS Bedrock and operating the model deployment platform where Workday hosts and scales its models.

We host thousands of traditional ML models across sharded Ray Serve clusters. Our platform handles approximately 2,000 requests per second and peaks at greater than 10,000 requests per second in our largest cluster. We also provide a uniform interface for accessing models on Bedrock and Gemini, and the production model registry for Workday.

In the year ahead, we are focused on making our uniform vendor interface more robust, scaling our architecture to support more than 20 agents going into production, improving cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different language for performance gains, and keeping pace with the rapidly evolving AI landscape.

Our culture is one of focus, camaraderie, and high performance. We are a friendly and dedicated group that takes pride in building and operating one of the most heavily used services at Workday. If you are energized by working on infrastructure that sits at the heart of Workday's AI strategy, this is the team for you.

About the Role

As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and direction of the platform alongside the engineering manager. You will play a central role in making critical design decisions, driving outcomes across the team, and setting a positive and inclusive team culture. In addition to the model serving platform, the team also owns the production model registry at Workday, and you will help guide its evolution and ensure it meets the needs of ML teams across the organization.

Your work will directly impact Workday's ability to serve AI at scale - from traditional ML models to the latest large language models powering Workday's agents.

Key Responsibilities:

Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform.
Design, implement, and maintain large-scale systems that enable moving ML models to production.
Write design documents to build consensus for new system components and enhancements to existing components.
Evaluate and uptake new technologies made available within Workday and across the broader industry.
Troubleshoot, improve, and scale continuous integration software pipelines.
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
Respond to alerts and debug production issues to maintain platform health and reliability.
Review pull requests and enforce consistency, performance, readability, and security across code bases.
Develop documentation to share knowledge with other engineers.

About You

(P5) Principal SDE Basic Qualifications

10+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.
Help set the product vision for the AI Model Serving platform in partnership with the engineering manager, bringing a product-oriented mindset to infrastructure decisions.

(P4) Sr. SDE Basic Qualifications

6+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.

Apply About employer

More about this job

Responsibilities

Lead the technical design and implementation of a large-scale AI model serving platform to support production ML workloads and agents. Ensure platform reliability, scalability, and performance while managing the production model registry.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and 6 to 10+ years of experience in software development focusing on distributed systems. Deep proficiency in Python and familiarity with serving both traditional ML and LLMs in production environments are essential.

Skills

Distributed Systems
Python
Large Language Models
Machine Learning
System Design
Ray Serve
Cloud Infrastructure
CI/CD Pipelines
Model Serving
Scalability
Performance Tuning
Technical Leadership
Monitoring Strategies
API Design
Production Engineering
Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Python
LLM
Machine Learning
Distributed Systems
Ray Serve
GCP
AWS Bedrock
Gemini
Model Registry
CI/CD
Scalability
High-throughput
Infrastructure
Production Engineering
Cloud Computing
API
Monitoring
System Architecture
AI Agents

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