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Added 11 days ago
TC
Incident Manager
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 12 days ago
TC
Network Engineer SD WAN with AWS
Tata Consultancy Services
Montreal, QC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 12 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…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…
Added 13 days ago
EC
AI Software Development Operations Manager
Elevation Capital
Canada
- Full-time
Strong full-stack engineering skills with Python, FastAPI, React, and TypeScript
Added 13 days ago
TC
Cross-disciplinary Controls Sr. Manager
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 16 days ago
RA
Co-op, Robotics Integration and Development (OTTO by Rockwell Automation)
Rockwell Automation
Waterloo, ON · Canada-Ontario-Waterloo
- $20 to $32 CAD / hour
- Full-time
System Debugging: Investigate and resolve issues by collecting system data, analysing behaviour, and contributing to debugging efforts across full robotics stack.
Added 18 days ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 17 days ago
R
Senior Manager, Back-End Development
RBC
Toronto, ON
- Full-time
Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software…
Added 15 days ago
E
Software Development Manager
EDealer
Canada
- Full-time
This role exists because the team is senior and self-directed enough not to need a full-time coordinator, and because we would rather its manager stay close to the work than drift away from…
Added 15 days ago
S
Software Engineering Manager
Spellbook
Remote, Canada
- Full-time
- Remote
We are looking for a people-first, technical Engineering Manager to join our engineering team. As part of your role, you’ll lead technical projects from inception to launch, working with…
Added 15 days ago
A
Lead Software Engineer – AI, Data Visualization & Platform
Astucemedia
Montreal, QC
- Full-time
Write and maintain production-quality code for critical system components across the full stack.
Added 16 days ago
RA
Co-op, Robotics Integration and Development (OTTO by Rockwell Automation)
Rockwell Automation
Waterloo, ON
- $20 to $32 CAD / hour
- Full-time
System Debugging: Investigate and resolve issues by collecting system data, analysing behaviour, and contributing to debugging efforts across full robotics stack.
Added 17 days ago
Q
FY27 Intern - Firmware/Embedded Software Engineering Internship - Canada (12 or 16 months)
Qualcomm
Toronto, ON
- Full-time
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our…
Added 17 days ago
Q
FY27 Intern - Low Power AI Software Development Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Our internship hiring model routes candidates from this application into multiple project specific roles. Your "Profile Visibility" choice will guide how we manage your data across our…
Added 17 days ago
H
Full Stack Engineering - Securities Financing
HSBC
Toronto, ON
- Full-time
As a Full Stack Engineer in Equities & Securities Financing Technology you will build and enhance an in-house margin and risk platform used by Risk Managers globally. You will join Canada’s…
Added 16 days ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with…
Added 17 days ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with…
Added 1 month ago
FI
Senior Recruiter - Supply Chain
Fulfillment IQ
Toronto, ON
- $90,000 to $115,000 CAD / year
- Full-time
Own the full stack of the work, including the unglamorous parts. Scheduling, ATS hygiene, vendor coordination, and client-facing resume formatting are yours too. We are a small but mighty…
Added 17 days ago
WO
Manager, Finance
WP Osborne Executive Search Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Starlight Investments, in conjunction with WP Osborne Executive Search, is seeking a Manager, Finance, to join its Portfolio Finance team.
Added 18 days ago
M
Senior Data Engineer
Minga
Kelowna, BC
- Full-time
…team at Minga, can trust. Reporting to the Senior Engineering Manager of Platform & SRE, you’ll give our Snowflake, Stitch and Metabase stack a real owner: modelling standards,…
Added 17 days ago
TC
SAP Basis Consultant
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 17 days ago
D
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
- Full-time
We're growing our Product Engineering & Development team and looking for a Manager who builds. This is a hands-on role for a seasoned full-stack engineer who can shape a solution with a…
Added 18 days ago
O
Technical Account Manager (Canada - Enterprise - Auth0)
Okta
Toronto, ON
- Full-time
The Technical Account Management (TAM) team is a global group of identity product experts dedicated to enabling existing customers to succeed. As a Technical Account Manager, you will serve…
Added 18 days ago
Technical Account Manager (Canada - Enterprise - Auth0)
Okta
Toronto, ON
The Technical Account Management (TAM) team is a global group of identity product experts dedicated to enabling existing customers to succeed. As a Technical Account Manager, you will serve…
Added 20 days ago
SI
Senior Financial Analyst
Starlight Investments
Toronto, ON
- Full-time
…various real estate strategies, we are a developer and asset manager of over 77,000 multi-residential suites and over 9 million square feet of commercial property space. Holding Canada’s…

Workday

Sr. Software Development Engineer / Principal, Software Development Engineer

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

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 5, 2026
Posting language: English
Posted: Sep 21, 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

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.

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 Location Base Pay Range: $168,000 CAD - $252,000 CADAdditional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD

Additional Considerations:

If performed in Colorado, the pay range for this job is $182,400 - $273,600 USD based on min and max pay range for that role if performed in CO.

The application deadline for this role is the same as the posting end date stated as below:

10/05/2026

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

Lead the technical design and implementation of large-scale AI model serving platforms to ensure performance, reliability, and scalability. Collaborate with cross-functional teams to maintain production model registries and drive the evolution of AI infrastructure.

Requirements

Requires 6-10+ years of experience in software development with a focus on distributed systems and deep proficiency in Python. Candidates must hold a bachelor's degree in Computer Science or a related field and possess strong expertise in scaling machine learning models.

Skills

Distributed systems
Python
Machine learning
LLMs
System design
Scalability
Cloud infrastructure
GCP
AWS Bedrock
Ray Serve
Software architecture
Technical leadership
Mentoring
CI/CD
Monitoring
Performance optimization

Benefits

Stock grants
Bonus plan
Flexible work
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Distributed Systems
Python
Machine Learning
LLM
AI Model Serving
GCP
AWS Bedrock
Ray Serve
Scalability
System Design
CI/CD
Production Engineering
Model Registry
Infrastructure
Cloud Computing
Performance Engineering
Technical Leadership
Software Lifecycle
Monitoring
Cost Governance
Gemini
API
Software Architecture
Mentorship
Agile
Data Science
Engineering Management
Platform Engineering
High-throughput

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