Find work in Canada.

322,028 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 9 mins ago
A
Cloud Software Engineer
Actalent
Ottawa, ON · Kanata, ON
- $46 to $65 CAD / hour
- Contract
Job Title: Cloud Software Engineer in Ottawa!
Added 25 mins ago
M
Critical Environment Field Service Engineer - Data Centers
Microsoft
Toronto, ON
- Full-time
…and we need you as a CO+I Critical Environement Field Service Engineer…
Added 54 mins ago
WT
Senior Software Developer (Front End), Trading
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
As a Senior Front End Engineer on our trading and investing teams, you'll own meaningful slices of the experiences at the heart of Canada's first zero-commission brokerage - the surfaces…
Added 1 hour ago
AS
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon Science
Vancouver, BC
- Full-time
On the Alexa Daily Essentials Science and Analytics team, we build intelligence systems that power AI-driven experiences for customer-facing features used by hundreds of millions of people…
Added 1 hour ago
C
Hardware Field Quality Engineer Intern (Summer 2027)
CapitalG
Longueuil, QC
- $34 to $36 CAD / hour
- Volunteer
We are looking for a Hardware Field Quality Engineer Intern to join our Field Quality team at our Longueuil facility. Once our bikes, e-bikes, batteries, and stations leave the factory,…
Added 1 hour ago
C
Lead Threat Intelligence Engineer
CapitalG
Toronto, ON
- Full-time
You will work closely with Clio's internal red team and detection engineer. Threat Intelligence characterizes the adversary - who they are, how they operate, what to watch for. The Red Team…
Added 1 hour ago
CS
Senior Research Engineer - Inference ML
Cerebras Systems
Canada
- Full-time
As a Senior Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras…
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Toronto, ON
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Toronto, ON
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Montreal, QC
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Vancouver, BC
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Consultant Risk Control
Aon
Calgary, AB
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Calgary, AB
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
Winnipeg, MB
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
A
Senior Risk Control Consultant
Aon
AB · Edmonton, AB
- Full-time
5 Years’ experience as an Engineer within commercial property and casualty risk
Added 2 hours ago
E
Project Engineering Specialist
Epiroc
Sudbury, ON · Lively, ON
- Full-time
Added 2 hours ago
Field Applications Engineer
EnerSys Delaware Inc.
Bolton, ON
The Field Applications Engineer supports the reliability, availability, and performance of battery-buffered DC fast charging and energy storage systems deployed in the field. Working…
Added 2 hours ago
Software Engineer, Revenue and Financial Automation
Stripe
Canada
RADS: Building user-facing products to deliver a best-in-class analytics, data services, and reporting and analytics platform for all Stripe users.
Added 2 hours ago
S
Backend Software Engineer (senior/staff)
SearchLabs
Toronto, ON
- Full-time
A strong backend engineer who's shipped and owned production systems end to end.
Added 2 hours ago
M
Winter Co-op 2027 – Automation Engineer (12 months)
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As an Automation Engineer Co-op, you'll help identify opportunities to simplify, streamline, and automate business and operational processes across the organization. Working closely with…
Added 2 hours ago
J
Senior Business Intelligence Engineer
Jobber
Remote, Canada
- Full-time
- Remote
Reporting to the Manager, Business Intelligence, the Senior Business Intelligence Engineer will champion data literacy, governance, and adoption across the business, leading the design and…
Added 3 hours ago
EI
Infrastructure Engineer
Edmonton International Airport (YEG)
Edmonton, AB
- Full-time
Added 3 hours ago
AP
Director, Financial Planning & Analysis
Andean Precious Metals Corp.
Toronto, ON
- Full-time
Bachelor’s Degree from a recognized University or College in Finance, Accounting, Business Administration, or Mining Engineer or related field.
Added 3 hours ago
W
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small, cross-functional pod,…
Added 3 hours ago
UO
¸APTPUO - BMG5111 B - Winter 2027
University of Ottawa
Ottawa, ON · Colonel By Hall
- Part-time

Workday

Software Development Engineer - Agent Factory

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD
Job type: Full-time
Posting language: English
Posted: Oct 2, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI - deeply embedded into Workday’s platform - not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter!

About the Role

As a Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small, cross-functional pod, you’ll design and ship full stack solutions - from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows.

This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You’ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you’ll feel right at home here.

Your responsibilities:

Build and deliver features that power AI agents embedded in HR and Financial workflows
Own services and experiences from development through production - you build it, you run it
Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
Share knowledge, mentor teammates, and help raise the technical bar across the pod

About You

Basic Qualifications

5+ years of experience in software engineering
3+ years of experience designing, building, and operating highly scalable, distributed systems in production
3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications

Experience building and operating SaaS products in cloud environments (AWS preferred)
Familiarity with the tradeoffs and architecture of modern distributed systems
Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
Hands-on experience with containerization technologies (Docker, Kubernetes)
Familiarity with Elasticsearch
Experience working within fast-paced, agile environments and multi-functional teams
Strong communication skills, with the ability to collaborate with both technical and non-technical partners
Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $112,000 - $168,000 CADAdditional CAN Location(s) Base Pay Range: $112,000 - $168,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Apply About employer

More about this job

Responsibilities

You will design and ship full-stack solutions to integrate AI-driven capabilities into HR and Finance workflows. You will own services from development through production, collaborating with cross-functional teams to build scalable and reliable systems.

Requirements

Candidates must have at least 5 years of software engineering experience and 3 years of experience building scalable distributed systems in cloud environments. A bachelor's degree in a technical field is required, with a preference for advanced degrees.

Skills

Software engineering
Distributed systems
Cloud computing
AWS
GCP
SaaS
DevOps
CI/CD
Automated testing
Observability
Docker
Kubernetes
Elasticsearch
Agile
Full-stack development
Machine learning

Benefits

Bonus plan
Stock grants
Flexible work
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Agent Factory
AI
Machine Learning
Full-stack
Distributed Systems
Cloud Computing
AWS
GCP
SaaS
DevOps
CI/CD
Docker
Kubernetes
Elasticsearch
Agile
HR
Finance
Scalability
Platform Architecture
Software Engineering
Production-grade AI
Automated Testing
Observability
Cross-functional Teams

Report this job