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Added 11 days ago
RB
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
- Full-time
Conduct peer code reviews, unit and integration testing, and participate in all phases of software development
Added 12 days ago
R
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
- Full-time
Conduct peer code reviews, unit and integration testing, and participate in all phases of software development
Added 12 days ago
NR
Senior Software Engineer
Norton Rose Fulbright
Toronto, ON
- Full-time
The Senior Software Engineer is responsible for developing, implementing, and supporting enterprise-grade cloud solutions leveraging Microsoft Azure and Microsoft Fabric. This role focuses…
Added 12 days ago
AI
Senior Systems Engineer
ATS Industrial Automation
Cambridge, ON
- Full-time
As a Senior Systems Engineer - Nuclear you are the driving technical force behind problem solving efforts. You will work with the customer, ATS project manager, and ATS design, assembly,…
Added 12 days ago
M
Aerospace Systems Engineer
MANNARINO
Montreal, QC
- Full-time
We are currently seeking an Aerospace / Aviation Systems Engineer to support the development, integration, verification, and certification of safety-critical aircraft systems. Actual…
Added 12 days ago
Senior Systems Engineer
ATS Automation
Cambridge, ON
As a Senior Systems Engineer - Nuclear you are the driving technical force behind problem solving efforts. You will work with the customer, ATS project manager, and ATS design, assembly,…
Added 12 days ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI…
Added 12 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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…
Added 12 days ago
T
Senior Software Engineer, Internal Tools
Tubi
Toronto, ON
- Full-time
Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible…
Added 12 days ago
H
Guidance, Navigation & Control (GNC) Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We’re looking for a senior GNC/AOCS systems engineer who can work across the full spacecraft lifecycle and bridge GNC algorithms, spacecraft hardware, flight software, systems engineering,…
Added 12 days ago
H
(Fastwater Staffing) Guidance, Navigation & Control (GNC) Systems Engineer - Montreal, Canada [Full Relocation Package]
HIKINEX
QC
- Contract
We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications…
Added 12 days ago
H
(Fastwater Staffing) Satellite Electrical Power System (EPS) Design Engineer - Montreal, Canada [Full Relocation Package]
HIKINEX
QC
- Contract
We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays,…
Added 12 days ago
H
(Fastwater Staffing) EMC/EMI System Engineer SME - Montreal, Canada [Full Relocation Package]
HIKINEX
QC
- Contract
We are seeking a Spacecraft EMC Systems Engineer for its high-performance spacecraft for our remote sensing and communications satellites. The Spacecraft EMC Systems Engineer will own the…
Added 12 days ago
M
Senior Security Engineer - Identity and Access Management
Marqeta
Remote, Canada
- Full-time
- Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 12 days ago
D
Senior Product Engineer
Docebo
Remote, Canada
- $102,800 to $137,000 CAD / year
- Full-time
- Remote
As a Senior Product Engineer, you bring strong expertise in either backend or frontend engineering alongside the ability and willingness to work across the full stack. You own features end…
Added 12 days ago
Senior Consultant - Microsoft Sentinel and Defender Engineer
EY
Winnipeg, MB · Toronto, ON · Quebec, QC · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Waterloo, ON · Calgary, AB
EY is seeking a senior, hands-on Microsoft security engineer to support the design, implementation, and continuous improvement of our Managed Detection and Response (MDR) services. You will…
Added 12 days ago
TC
Integrator engineer
Tata Consultancy Services
Montreal, QC
- Full-time
6. Desired - Prior experience administering systems for version control (Bitbucket, Github), issue tracking (Jira), continuous integration (Jenkins, Github Actions), or release management.
Added 12 days ago
EG
Full Stack Engineer - Azure & Microsoft
Emterra Group
Oakville, ON
- Full-time
We are looking for a skilled Full Stack Engineer to design, build, integrate, and operate secure enterprise applications on the Microsoft Azure platform. This role owns application…
Added 12 days ago
E
Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 12 days ago
Software Development Engineer, Scaling Planner, CloudTune
Amazon
Toronto, ON
Amazon's CloudTune organization is seeking a Software Development Engineer to join the Scaling Planner team and contribute to our suite of products across Reactive and Proactive Scaling.…
Added 12 days ago
RG
Guidewire ClaimCenter Integration Developer
RED Global
Markham, ON
- Contract
Role: Guidewire ClaimCenter Integration Develope
Added 12 days ago
E
Sr. Plant Controller Modelling Engineer
e-STORAGE
Kitchener, ON
- Full-time
We are looking for a talented and a driven Sr Plant Controller Modelling Engineer to join our forward-thinking team and play a key role in shaping the next generation of Energy Management…
Added 12 days ago
KC
Senior Network Engineer
Kepler Communications Inc.
Canada
- Full-time
Collaborate closely with software, FPGA, and mission operations teams to support network infrastructure for satellite operations and ground systems
Added 12 days ago
F
Senior/Lead Engineer - Agentic AI Development
FICO
Canada
- Full-time
…Harness Engineering. As AI coding agents take on more of the software lifecycle, the hard part is no longer writing code - agents generate it faster than humans can review it, so the…
Added 12 days ago
SF
Data Platform Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
…ownership, trust them to make decisions, and focus on building systems that scale…

Workday

Sr. Software Development Engineer / Principal, Software Development Engineer

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

Full-time

Apply About employer

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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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