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Added 3 hours ago
Y
Senior Full Stack Developer – Cloud & Platform Engineering
Yochana
Calgary, AB
- Full-time
Apply security best practices across application development, cloud configuration, identity, secrets management, and delivery pipelines.
Added 4 hours ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Integrate Jira Service Management with enterprise platforms such as Confluence, Slack, Microsoft Teams, GitHub, Azure DevOps, email, and identity management systems.
Added 4 hours ago
AS
Senior Full Stack Developer - Azure
Ardent SoftSol Inc.
Calgary, AB
- Contract
Apply security best practices across application development, cloud configuration, identity, secrets management, and delivery pipelines.
Added 9 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…constraints that shape what gets built, whether the builder is an engineer or an AI coding…
Added 17 hours ago
X
Senior Network Engineer
Xanadu
Toronto, ON
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
Added 21 hours ago
M
Software Engineer II
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Software Engineer II, you will deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined projects to achieve…
Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 day ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
…Service Endpoints, Private Endpoints at scale), and robust Identity & Access Management (Entra ID, Managed Identities, Federated Credentials, OIDC, App Registrations, Service…
Added 1 day ago
MC
Platform Engineer - Azure (35991)
Myticas Consulting
Canada
- Contract
Implement platform components for networking, private connectivity, identity and access, storage, key management, monitoring, logging, and policy.
Added 1 day ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 2 days ago
1
Infrastructure Architect
123Dentist
Toronto, ON
- $150,000 to $175,000 CAD / year
- Full-time
The Infrastructure Architect is the senior technical engineer for 123Dentist’s server, identity, cloud, and network infrastructure, combining deep hands-on design and engineering with…
Added 2 days ago
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Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Experience with a public cloud platform (Azure preferred), including compute, identity and access management, and CI/CD pipelines.
Added 2 days ago
IT Systems Administrator - Security & Operations
Tree Time Services
Sherwood Park, AB
Administer and harden perimeter defenses using OPNsense firewall gateways, Tailscale mesh VPN routing, and JumpCloud identity management (enforcing mandatory MFA, BitLocker disk encryption,…
Added 2 days ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…cloud platforms and applications. Configure security controls (identity & access management, data encryption, network security) and ensure cloud configurations follow leading security…
Added 2 days ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 2 days ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 2 days ago
A
QA/QC Apecialist
Actalent
Burnaby, BC
- $35 to $45 CAD / hour
- Contract
At least 2 years of experience in a Quality Specialist, Quality Assurance Engineer, or Supplier Quality role, or equivalent experience as an advanced engineering co-op student with strong…
Added 2 days ago
A
Mechanical Test Engineer
Actalent
Vancouver, BC
- $48 to $57 CAD / hour
- Contract
The Mechanical Test Engineer is responsible for supporting new product development programs by delivering product design verification. This role requires close interaction with…
Added 2 days ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 2 days ago
A
Hardware Engineer
Actalent
Maple Ridge, BC
- $38 to $48 CAD / hour
- Contract
We are seeking a Hardware Engineer to support an established portfolio of electronic products used in demanding industrial applications. The position is primarily focused on sustaining…
Added 2 days ago
A
Continuous Improvement Engineer
Actalent
Port Coquitlam, BC
- $50,000 to $62,400 CAD / year
- Full-time
The Continuous Improvement Engineer will support operational improvement initiatives within a manufacturing environment. This role will spend significant time on the production floor…
Added 2 days ago
A
Senior Flight Software Engineer
Actalent
Brampton, ON
- $48 to $72 CAD / hour
- Contract
Collaborate with seniors and management on the establishment, evolution, and enforcement of standards for coding, tools/environments, and processes.
Added 2 days ago
A
Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…
Added 2 days ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 2 days ago
A
Mechanical Design Engineer
Actalent
Ottawa, ON
- $50 to $65 CAD / hour
- Contract
The Mechanical Design Engineer leads the mechanical design and development of specialty equipment that supports API and final drug product manufacturing. This role owns projects across the…

Closed listing

Digital Nomad World

Senior Staff Machine Learning Platform Engineer

ON, Canada
Ontario, Canada, Canada

Canada: the pay range for this role is $248,000 to $341,000 per year. · Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: Canada: the pay range for this role is $248,000 to $341,000 per year.
Job type: Full-time
Closing date: Nov 4, 2026
Experience: 10-12 years of experience building and improving large-scale ML or data platforms.
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Kubernetes Machine Learning Python

Remote eligibility: Ontario, Canada.

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we’re using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Note: This role can also be performed remotely for candidates located in Ontario, Canada.

About This Role

As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.

What You Will Do

Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
Optimize performance, reliability, and cost of the ML platform
Evaluate and integrate emerging Databricks features
Stay ahead of the curve by engaging with the latest developments in machine learning and AI
Serve as senior ML technical advisor to Faire’s data science and production engineering teams
Represent Faire at ML conferences and meetups
Mentor ML engineers and raise the overall bar for Machine Learning at Faire

What It Takes

10-12 years of experience building and improving large-scale ML or data platforms.
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
Proven ability to design systems that support multiple data science teams and production workloads
Strong background in distributed systems, ML infrastructure, and cloud architecture.
Demonstrated technical leadership across teams and orgs; ability to influence without authority
Experience integrating LLM workflows into enterprise platforms is a plus
Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus

Tech Stack

Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:

Category

Technologies

Languages

Python, SQL, Kotlin

ML Frameworks

PyTorch, PySpark, MLFlow

Big Data & Processing

Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL

Cloud & Infrastructure

AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform

Generative AI

Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $248,000 to $341,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast: You’ll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We’re intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Originally listed on We Work Remotely.

About employer

More about this job

Responsibilities

Define and evolve the architecture and standards for Faire’s machine learning platform, including training, inference, governance, MLOps, experimentation, and observability. Lead cross-functional platform initiatives, optimize scalability, reliability, and cost, advise data science and production engineering teams, and mentor ML engineers.

Requirements

Requires 10–12 years of experience building or improving large-scale machine learning or data platforms, along with deep expertise in Databricks lakehouse architecture, Unity Catalog, Workflows, and cost optimization. A degree in computer science, engineering, statistics, or a related technical field is preferred, and candidates should bring strong distributed systems and cloud architecture experience plus demonstrated technical leadership.

Skills

Machine Learning Platform Architecture
Databricks
Unity Catalog
MLOps
Distributed Systems
Cloud Architecture
Python
SQL
Kotlin
PyTorch
PySpark
MLflow
Apache Spark
Delta Lake
Kubernetes
Machine Learning Governance

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Platform
Databricks
Lakehouse Architecture
Unity Catalog
Databricks Workflows
MLOps
CI/CD
Spark
Delta Lake
MLflow
Python
SQL
Kotlin
PyTorch
PySpark
Kafka
Snowflake
Fivetran
Apache Iceberg
Datadog
Airflow
CockroachDB
MySQL
AWS
Amazon S3
SageMaker
Kubernetes
Docker
Terraform

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