Jobs in Canada

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Added 23 days ago
L
Senior Back-End Engineer
LotusFlare
Toronto, ON
- Full-time
At LotusFlare, Senior Backend Engineers are replacing traditional business back ends with an engagement-centric, dynamic product stack. You’ll develop, secure and scale the back-end…
Added 23 days ago
RI
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Must have : SQL+ Datawarehouse+ Banking domain
Added 23 days ago
TC
Senior DevSecOps Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
MUST Have Skillsets
Added 23 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 23 days ago
CG
Data Lead (Canada)
CSC Generation
Toronto, ON
- Full-time
As Senior Analytics Engineer, you will own the analytical layer between raw data and business decisions: modeling data, defining metrics, building semantic layers, and partnering with…
Added 24 days ago
Senior AI Platform Engineer
Motive
Toronto, ON
Senior engineer who ships production software and AI systems on cloud infrastructure that is reliable, secure, and cost-disciplined. You design applications and services, operate inference…
Added 24 days ago
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Senior Software Engineer, Agent Infrastructure
Cohere
Remote, Canada
- $260,000 to $360,000 USD / year
- Full-time
- Remote
…distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at…
Added 24 days ago
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Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 24 days ago
II
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
- Full-time
The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together…
Added 24 days ago
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Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Full-time
We are looking for a hands-on BI Platform Operations Engineer to provide production operational support, administration, maintenance, and technical troubleshooting for our enterprise…
Added 24 days ago
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IT Systems Engineer
Baseten
Toronto, ON
- $175,000 to $225,000 CAD / year
- Full-time
This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in person
Added 24 days ago
RT
Senior Software Engineer
Russell Tobin
Toronto, ON
- $75 to $95 CAD / hour
- Contract
Python web framework using AppApp, PostgreSQL in AWA platform
Added 24 days ago
R
Senior DevOps Engineer
Recharge
Canada
- Full-time
The Infrastructure Team owns the design, operation, and reliability of our cloud-native infrastructure platform. This is a hands-on role requiring a significant depth of knowledge in…
Added 24 days ago
KC
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with extensive hands-on expertise in Databricks and strong consulting capability. This role will support and lead modernization initiatives from…
Added 24 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Calgary, AB
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 24 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 24 days ago
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Senior Software Engineer II, Decisioning Studio Integrations Team
Braze
Toronto, ON
- $186,838 to $334,740 CAD / year
We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning…
Added 24 days ago
E
Machine Learning Engineer
EvenUp
Toronto, ON
- $130,000 to $205,000 CAD / year
- Full-time
We're looking for a Machine Learning Engineer to join our ML team at EvenUp. You'll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on…
Added 24 days ago
E
Senior Engineer, Competitive Benchmarking and Performance
Elastic
Canada
- Full-time
…(RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance…
Added 24 days ago
E
Senior Engineer, Competitive Benchmarking and Performance
Elastic
Canada
- Full-time
…(RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance…
Added 24 days ago
MM
Observability Engineer
Morgan McKinley
Toronto, ON · Greater Toronto Area, Canada
- $105,000 to $125,000 CAD / year
- Full-time
We are seeking a Senior Observability Engineer to help build, maintain, and enhance our enterprise monitoring and observability capabilities across cloud and hybrid environments. This role…
Added 24 days ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 24 days ago
Senior Data Engineer
Ipsos
Vancouver, BC
The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together…
Added 24 days ago
A
AI LLM Senior Analyst
Accenture
Mississauga, ON · Montreal, QC
- $29.59 to $53.63 CAD / hour
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 24 days ago
Post-Silicon Validation Engineer (Multiple Levels)
Celero Communications, Inc.
Ottawa, ON
We are seeking multiple levels from early career to Senior Staff level.

Dayforce

Software Developer Sr (AI Platform & Applications)

Canada

Apply on jobs.dayforcehcm.com 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 on jobs.dayforcehcm.com 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

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Work requirements

Jobs in Canada