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Added 1 month ago
TS
AI Engineer
Triunity Software
St. John's, NL
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Fredericton, NB
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Winnipeg, MB
- $100,000 to $110,000 CAD / year
- Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 1 month ago
TS
AI Engineer
Triunity Software
Regina, SK
- $100,000 to $110,000 CAD / year
- Full-time
…a real impact. If you're passionate about machine learning, data, and innovation - we want to hear from…
Added 1 month ago
TS
AI Engineer
Triunity Software
Ottawa, ON · Ontario, ON
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Quebec, QC
- $100,000 to $110,000 CAD / year
- Full-time
Proficiency in Python and familiarity with software engineering best practices
Added 1 month ago
TS
AI Engineer
Triunity Software
AB · Edmonton, AB
- $100,000 to $110,000 CAD / year
- Full-time
Build and maintain data pipelines to support model training and inference
Added 1 month ago
TS
AI Engineer
Triunity Software
Victoria, BC
- $100,000 to $110,000 CAD / year
- Full-time
Familiarity with data engineering tools and SQL/NoSQL databases
Added 1 month ago
A
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
- Full-time
The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation…
Added 1 month ago
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Senior Quality Engineer
LTM
Mississauga, ON
- Full-time
Strong experience in designing and implementing test automation frameworks using Selenium Appium Rest Assured Java Python and C across web mobile and API applications
Added 1 month ago
D
Backend Engineer, AI | Growth
Deel
Canada
- Full-time
…excellence. By leveraging AI as a co-pilot while maintaining strong engineering fundamentals, this role is essential for building scalable, production-grade features that drive business…
Added 1 month ago
H(
Sr. Analyst, Valuation & Model Development
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…model selection, prototype construction, market and position data consolidation, scripting for production implementation, end-to-end testing (Dev to UAT), defect resolution, and…
Added 1 month ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Strong Python skills for data engineering, automation, testing, API integration, and file processing, with hands-on experience in PySpark and Spark SQL preferred.
Added 1 month ago
Senior Data Platform Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
We are currently seeking a driven and collaborative Senior Data Platform Engineer to join our forward-thinking Data and Analytics team.
Added 1 month ago
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Senior Software Engineer (Full Stack)
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…responsibly. High trust, high expectations, and real impact. Engineering, but…
Added 1 month ago
TR
Senior Manager, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
We are hiring a Senior Manager, Product Analytics to lead data analytics across Transactional Compliance products, and to manage a team of product analysts and data engineers. This role is…
Added 1 month ago
IF
AI Developer Intermediate
Intact FC
Montreal, QC
- Full-time
Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog and Delta Lake is considered an asset.
Added 1 month ago
IM
Senior Data Engineer, Risk Technology
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
The role also requires strong data engineering capability. The successful candidate will build and support reliable data pipelines that hydrate Power BI semantic models from enterprise data…
Added 1 month ago
1E
Transmission Planning Engineer
1803 ELECTRIC COOPERATIVE INC
Engineer, BC
- Full-time
Develops and maintains datasets to facilitate accurate modeling, reporting, and data analysis in all areas of transmission planning.
Added 1 month ago
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Murex DevOps
Luxoft
Toronto, ON
- $72,000 to $120,000 CAD / year
- Full-time
Ensure compliance with security and data governance requirements
Added 1 month ago
RA
Applied AI Engineer
Ranger AI
Canada
- Full-time
…production. You will work closely with Product, Forward Deployed Engineering, GTM, and our customers across discovery, solution design, implementation, testing, and deployment. The role…
Added 1 month ago
EG
Rail Requirements Management Specialist
Egis Group
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Proficiency in data processing and analysis using tools such as Excel, VBA, Python, or other applicable tools.
Added 1 month ago
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Principal Engineer - GTB Data and Platforms
TD
Toronto, ON
- Full-time
Define, design, and deliver scalable solutions for the Global Transaction Banking Data Platform, driving the evolution of modern data and platform engineering capabilities.
Added 1 month ago
Senior Data Analyst
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Use Python (pandas, NumPy, matplotlib/seaborn, scikit-learn) for advanced analytics, statistical modelling, automation of repetitive analytical tasks, and data wrangling at scale.
Added 1 month ago
L
GTM Engineer
LumiQ
Toronto, ON
- Full-time
Experience: 4+ years in GTM engineering, Marketing Operations, Data analysis, or Data Engineering within a SaaS environment.

Workday

Senior Software Engineer (Full Stack)

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

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $140,000 CAD - $210,000 CADPrimary CAN Base Pay Range: $140,000 - $210,000 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $140,000 CAD - $210,000 CADPrimary CAN Base Pay Range: $140,000 - $210,000 CAD
Job type: Full-time
Experience: 8+ years of experience in software engineering
Posting language: English
Posted: Sep 24, 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 Senior Full Stack 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 full stack 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:

8+ years of experience in software engineering
5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
5+ years with a Relational DB (PostgreSQL preferred)

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
Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
Proven success working within fast-paced, agile environments and cross-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

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 Location Base Pay Range: $140,000 CAD - $210,000 CADPrimary CAN Base Pay Range: $140,000 - $210,000 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.

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More about this job

Responsibilities

Build and deliver full-stack features and resilient services that power AI agents in HR and Finance workflows, owning them from development through production. Collaborate with machine learning engineers, product managers, and platform teams, while sharing knowledge and mentoring teammates.

Requirements

Requires at least 8 years of software engineering experience, 5 years with a web development framework (Python preferred), and 5 years with relational databases (PostgreSQL preferred). Candidates should also have experience with cloud SaaS products, distributed systems, DevOps practices, containers, and cross-functional agile teams; Java and TypeScript are a plus.

Skills

Full-Stack Software Development
Python
Flask
Django
FastAPI
PostgreSQL
Relational Databases
AWS
Distributed Systems
DevOps
CI/CD
Automated Testing
Observability
Docker
Kubernetes
Elasticsearch

Benefits

Bonus Plan
Annual Stock Grants

Visa sponsorship

Not detected in the job text

Keywords

AI Agents
Full-Stack Development
Python
Flask
Django
FastAPI
PostgreSQL
Relational Databases
SaaS
AWS
Cloud Environments
Distributed Systems
DevOps
CI/CD
Automated Testing
Observability
Docker
Kubernetes
Elasticsearch
Java
TypeScript
Agile
HR Workflows
Finance Workflows
Platform Architecture
Machine Learning
Production Systems

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