Find work in Canada.

555,122 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 11 days ago
S
Opto-Mechanical Engineer
SBQuantum
Sherbrooke, QC
- Full-time
…ground up, collaborate with passionate experts across physics, data science, and engineering., and contribute directly to solving real-world challenges across critical…
Added 11 days ago
S
AI Software Engineer Co-op
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
You are currently pursuing a degree or diploma in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, Data Science, Information…
Added 11 days ago
WC
AI Software Developer (Burlington, ON)
Wolseley Canada Inc.
Burlington, ON
- Full-time
Post-secondary education in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
Added 11 days ago
R
Senior DevOps Engineer
Recharge
Canada
- Full-time
…retention and revenue growth. The Recharge platform leverages data from over 100 million shoppers to help brands more successfully set up, manage, and grow their subscription…
Added 11 days ago
H
Data Science Manager (Hybrid)
Homebase
Remote, Canada
- $170,000 to $240,000 CAD / year
- Full-time
- Remote
We’re hiring a Manager, Data Science who’s excited to lead a team transforming how data powers product, platform, and people at Homebase. This role is ideal for someone who wants to shape…
Added 11 days ago
Business Operations Analyst
AppLovin
Toronto, ON
…and translate business problems into actionable requests for Engineering and Operations. You will also write and maintain your own workflow code and analyze product features and…
Added 11 days ago
ZT
Data & AI Engineer
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
Develops efficient data transformation code in spark (in Python and Scala) and Dask.
Added 11 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
Added 11 days ago
AL
AI Engineer (Agentic AI / AWS Bedrock)
Accion Labs
Canada
- Contract
The role requires a strong combination of AI engineering, cloud deployment, data pipeline development, and LLM performance monitoring.
Added 11 days ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
This is a hands-on Platform Engineering role, requiring someone who has personally deployed, configured, secured, and operationalized Azure Databricks environments, rather than simply…
Added 11 days ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
The ideal candidate will combine deep expertise in Quality Engineering with hands-on experience evaluating Large Language Models (LLMs), AI agents, AI-assisted workflows, and enterprise AI…
Added 11 days ago
NT
Product Engineer
NETINT Technologies
Burnaby, BC
- $70,000 to $95,000 CAD / year
- Full-time
…computing. Its Codensity portfolio enables enterprise, cloud data centers, and content providers to deploy high-performance applications that they can scale without limit while minimizing…
Added 11 days ago
P
Intermediate Software Engineer
PointClickCare
Mississauga, ON
- $112,000 to $125,000 CAD / year
- Full-time
Knowledge of scripting languages such as Python, Bash or Groovy
Added 11 days ago
Software Developer Sr (AI Platform & Applications)
Dayforce
Canada
We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who…
Added 11 days ago
WG
AI Software Developer (Burlington, ON)
Wolseley Group
Burlington, ON
- Full-time
Post-secondary education in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
Added 11 days ago
W
Senior Data Analyst, Operations
Waabi
Toronto, ON
- Full-time
Bachelor's degree in Data, Statistics, Computer Science, Engineering, or a related field, or equivalent practical experience.
Added 11 days ago
C
Sr Cloud Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate experience atleast 5+ years of experience and the Cloud Data Engineer is responsible for designing, developing, and maintaining scalable data solutions using cloud…
Added 11 days ago
T®
Software Developer
TekWissen ®
Vaughan, ON
- $69 to $70 CAD / hour
- Contract
Bachelors or higher degree in Computer Science, Computer Engineering, or equivalent.
Added 11 days ago
I
Secure System Platform Engineer
IBM
Ottawa, ON
- $129,200 to $167,200 CAD / year
- Full-time
…defined under the Canadian Controlled Goods Program and ITAR data/technology. To be eligible for employment in this role, you must be a Canadian citizen or Canadian Permanent Resident.…
Added 11 days ago
I
Application Developer
IBM
Ottawa, ON
- $121,550 to $150,150 CAD / year
- Full-time
As an Application Developer, you will develop, support, and maintain applications.
Added 11 days ago
R
Senior Developer (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
…team is currently seeking a creative, qualified and talented developer. Based in Montreal as part of a cross-functional team, you will focus primarily on integrating and developing…
Added 11 days ago
AG
Application Developer III
Allegis Global Solutions
Toronto, ON
- $70 to $73 CAD / hour
- Contract
We are seeking a highly skilled and motivated senior application developer to join a dynamic Data & Digital team within an Engineering, Innovation & Architecture organization. This is a…
Added 11 days ago
QT
AI Research Scientist - Computer Vision & Generative AI
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
- Translate research findings into robust, scalable, production-ready AI solutions in collaboration with engineering and MLOps teams.
Added 11 days ago
QT
Senior AI Research Scientist - Computer Vision & Generative AI
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $160,000 to $180,000 CAD / year
- Full-time
- Translate research findings into robust, scalable, production-ready AI solutions in collaboration with engineering and MLOps teams.
Added 11 days ago
PS
Senior Developer, Threat Defense and Detection Engineering
Public Sector Pension Investment Board
Montreal, QC
- Full-time
As a Senior Developer, Threat Defense and Detection Engineering, you’ll:

Dayforce

Software Developer Sr (AI Platform & Applications)

Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Dec 22, 2026
Posting language: English
Posted: Oct 21, 2026

Original job description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

About the opportunity

We are looking for a Senior Software Developer to join the team building AI-powered capabilities within the Dayforce platform. This role is ideal for an experienced software engineer who enjoys designing, building, and shipping production-quality applications using modern development frameworks, cloud technologies, and AI-assisted engineering practices.

This is a high-impact opportunity to help shape how millions of users across 150+ countries interact with Dayforce. You will work across the full software development lifecycle - including architecture, design, prototyping, implementation, testing, release, and production operations - while partnering closely with product managers, architects, and engineering teams to deliver scalable, reliable, and innovative solutions.

What you’ll get to do

Design and Build Scalable Software

Design, develop, and maintain high-quality, scalable software solutions and services.
Build and evolve microservices and APIs that support AI-powered product capabilities and core platform functionality.
Contribute to the design and implementation of modern distributed systems with a focus on scalability, performance, reliability, and maintainability.
Participate in architecture discussions and help shape the technical direction of new and existing services.
Build robust testing, validation, monitoring, and observability into production systems.
Improve system performance through profiling, optimization, and continuous refinement.
Automate releases, deployments, integrations, and operational workflows.
Own critical areas of the codebase while contributing to shared engineering libraries and reusable components.

AI-Accelerated Engineering

AI-assisted development is an important part of this role. You will leverage modern AI development tools to improve engineering productivity while maintaining high standards for quality, security, and maintainability.

Examples include:

AI-assisted code generation with thoughtful engineering review.
Automated test generation and regression testing.
Accelerated refactoring and modernization.
AI-assisted debugging, log analysis, and root cause investigation.
Documentation, code migration, and engineering workflow automation.
Responsible AI usage with strong security, privacy, and review practices.

Product Partnership and Engineering Excellence

Collaborate with product managers, architects, designers, and engineers to deliver customer-focused solutions.
Translate business requirements into well-designed technical solutions.
Present designs and technical concepts to both technical and non-technical audiences.
Mentor team members through code reviews, design discussions, and pair programming.
Contribute to engineering best practices, technical standards, and continuous improvement initiatives.
Participate in the complete software development lifecycle from concept through production support.

How We’ll Evaluate Success

Success in this role will be measured by your ability to:

Deliver scalable, reliable, and high-quality software that creates meaningful customer value.
Build well-tested, observable, and maintainable production systems.
Accelerate delivery through effective use of AI-assisted engineering practices.
Contribute to the long-term health, performance, and evolution of our platform.

Skills and experience we value

Required Qualifications

Strong software development experience with Python building production-quality applications.
Experience designing and developing cloud-native, distributed, or SaaS applications.
Strong understanding of software engineering fundamentals including data structures, algorithms, object-oriented design, design patterns, and API design.
Experience developing and consuming RESTful APIs and microservices.
Experience with Azure or another major cloud platform.
Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
Experience with CI/CD pipelines and modern source control tools including Git, GitHub, or Azure DevOps.
Strong understanding of testing methodologies and automated testing practices.
Ability to analyze, troubleshoot, profile, and optimize applications in production environments.
Excellent analytical, problem-solving, collaboration, and communication skills.
Passion for learning new technologies and continuously improving engineering practices.

AI Development Experience

Demonstrated experience using AI-assisted development tools to improve software delivery.
Ability to rapidly prototype, iterate, and validate solutions while maintaining high-quality engineering standards.
Experience using AI tools for debugging, refactoring, documentation, and code generation.
Strong understanding of responsible AI usage within software development workflows.

What would make you stand out

Experience with search technologies such as Elastic, Azure AI Search, etc.
Experience with event-driven architectures and messaging platforms such as Kafka.
Experience building highly scalable distributed systems.
Familiarity with observability, monitoring, logging, and reliability engineering practices.
Experience with Azure services such as Azure SQL, Functions, Storage, Key Vault, Azure Monitor, and Log Analytics.
Experience with infrastructure automation tools such as Terraform, ARM templates, or PowerShell.
Experience with front-end technologies and modern web application frameworks.
Familiarity with modern AI frameworks, large language model integrations, retrieval techniques, or intelligent application development.
Experience mentoring developers and providing technical leadership.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

Dayforce is committed to providing accommodations for applicants with disabilities throughout the recruitment process. If you require an accommodation, please contact us at accessibilty@dayforce.com.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain scalable software solutions and microservices to support AI-powered capabilities within the Dayforce platform. Collaborate with cross-functional teams to deliver high-quality, reliable applications while leveraging AI-assisted engineering practices to improve productivity.

Requirements

Requires strong software development experience with Python and experience in cloud-native or distributed systems. Candidates must possess a solid understanding of software engineering fundamentals, API design, and modern development tools like Docker and Kubernetes.

Skills

Python
Cloud-native development
Distributed systems
SaaS
RESTful APIs
Microservices
Azure
Docker
Kubernetes
CI/CD
Git
Automated testing
AI-assisted development
Problem-solving
Technical leadership

Benefits

Time away from work programs
Wellness initiatives
Competitive pay
Charity programs

Visa sponsorship

Not detected in the job text

Keywords

Software Developer
AI Platform
Python
Cloud-native
Distributed Systems
SaaS
Microservices
RESTful APIs
Azure
Docker
Kubernetes
CI/CD
Git
GitHub
Azure DevOps
Automated Testing
AI-assisted Engineering
Elastic
Azure AI Search
Kafka
Event-driven Architecture
Terraform
ARM templates
PowerShell
Observability
Logging
Reliability Engineering
Human Capital Management
Technical Leadership

Report this job