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Added 12 days ago
JG
Risk Observability & Analytics Engineer
J&M Group
Montreal, QC
- Contract
Core Profile: Senior Analytics/Data Engineer with 5+ years experience, combining Data Engineering, BI, AI, Automation, and Technology Risk.
Added 12 days ago
HM
Engineering Co-op Student - January 2027
Hudbay Minerals
Princeton, BC
- $65,624 to $68,744 CAD / year
Reporting to the Senior Mine Engineer, Technical Services, the Engineering Co-op Student will apply their engineering knowledge to support both Engineering and Operations teams. As a member…
Added 12 days ago
L
Senior Python Engineer (AI skills)
Luxoft
Toronto, ON
- Contract
…This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver…
Added 12 days ago
QT
Principal Engineer, Software Engineering / AI Engineer
Quantum Technology Recruiting Inc. (QTR)
Toronto, ON
- $285,000 to $325,000 USD / year
- Full-time
We're partnering with a leading global financial services organization that is making a significant investment in its Toronto technology hub. We're looking for senior engineering leaders…
Added 12 days ago
S
Software Engineer II
Socure
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams…
Added 12 days ago
Senior Data Engineer
Ipsos
Canada
We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and…
Added 12 days ago
TC
Senior DevSecOps Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…
Added 12 days ago
H
Python Developer - AI Engineer
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Developer (AI Engineer) to join a growing Artificial Intelligence and Machine Learning team. In this role, you will contribute to the design,…
Added 12 days ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 12 days ago
P
Senior Machine Learning Systems Engineer (CAD)
PointClickCare
Mississauga, ON
- $154,000 to $193,000 CAD / year
- Full-time
The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across…
Added 12 days ago
CO
Intern, Backend Software Engineer - Team Interstellar - Winter 2027
Capital One
Toronto, ON
- Full-time
You will collaborate with other engineers, product managers, and architects to deliver features. Senior team members will provide technical guidance and mentorship.
Added 12 days ago
RB
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
- Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 12 days ago
R
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
- Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 12 days ago
Q
Senior ASIC Verification Engineer
Qualcomm
Markham, ON
- Full-time
We are looking for an ASIC Verification Engineer to be part of our team to innovate and design complex leading, ultra-low power, solutions for audio and context aware applications.
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
EM
Senior Manager Data Engineer
Electric Mind
Toronto, ON
- Full-time
As Data Engineer, you will provide hands-on expertise as it relates to data management, analytics, and business intelligence. This opportunity will allow you to utilize your unique blend of…
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
TC
Integrator engineer
Tata Consultancy Services
Montreal, QC
- Full-time
4. Strong focus on delivery when presented with short timelines and increased involvement from senior management.
Added 12 days ago
KC
Senior Network Engineer
Kepler Communications Inc.
Canada
- Full-time
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 12 days ago
F
Senior/Lead Engineer - Agentic AI Development
FICO
Canada
- Full-time
…that environment the harness (Agent = Model + Harness). As a Senior Harness Engineer you'll independently own whole harness subsystems, set the standards other engineers build to, and be…
Added 12 days ago
TI
Senior AI Engineer
Tekgence Inc
Toronto, ON
- Contract
Strong JVM engineering (Java; Kotlin or Scala a plus) with solid practices: Git workflows, code review, automated testing, structured logging, and clean design.
Added 12 days ago
B
Senior Cloud Engineer - Terraform, Azure
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a replacement Senior Cloud Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform or…
Added 12 days ago
RE
Frontend Engineer - UI/UX
RedBranch Executive Search & Recruitment
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $135,000 CAD / year
- Full-time
Our client is an exciting AI Start up company and they have an immediate need for a Frontend Engineer. This position will own the decision surface enterprise that senior leaders will act on…
Added 12 days ago
FB
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
- Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…

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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