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Added 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- 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 43 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
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 hour ago
C
Senior Site Reliability Specialist (SRE) – Equity Trading Platform
CGI
Montreal, QC
- Full-time
We’re looking for a Senior Site Reliability Engineer to join our Montréal team. You’ll deploy, support, and improve the Equity platform across the Americas, helping provide the best…
Added 4 hours ago
R
Senior Full Stack Engineer (Rails & React)
REW.ca
Vancouver, BC
- Full-time
We are looking for a Senior Full Stack Engineer (Rails and React) who blends technical thought-leadership with hands-on development, architecture, and mentorship. This role will help shape…
Added 4 hours ago
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Lead Automation Engineer
RBC
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 5 hours ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this…
Added 5 hours ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.
Added 5 hours ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 6 hours ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 6 hours ago
C
Senior IT Systems Eng
Cognichip
Toronto, ON
- $150,000 to $185,000 CAD / year
- Full-time
We are hiring a Senior IT Systems Engineer to run and scale the systems that keep our team productive and secure across our Toronto and Redwood City offices and our remote staff. You will…
Added 6 hours ago
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Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Cloud and platform: Microsoft Azure, Kubernetes/AKS, Docker and containers, Terraform, and Helm or Kustomize.
Added 6 hours ago
S
Associate Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 hours ago
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Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
Cloud and platform: Microsoft Azure, Kubernetes/AKS, Docker and containers, Terraform, and Helm or Kustomize.
Added 7 hours ago
M
Senior Cloud Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 7 hours ago
RI
Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
The successful candidate will possess deep expertise in Oracle AI Agent Studio, Oracle Fusion Cloud Applications, AI architecture, GenAI technologies, and enterprise integration patterns.…
Added 7 hours ago
Member IT Services - Senior Cloud and Infrastructure Engineer
Mohawk Medbuy Corporation (MMC)
Burlington, ON · Toronto, ON
We are currently recruiting for a Senior Cloud & Infrastructure Engineer to support our Information Technology – Cloud and Infrastructure team.
Added 8 hours ago
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Azure Data Consultant, Senior Associate
PwC
Toronto, ON
- Full-time
As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data…
Added 8 hours ago
Senior Software Engineer (Devops)
Electronic Arts
Vancouver, BC
You will report to a Senior Technical Director within the Game Developer Experience (GDX) team. We build and scale the CI ecosystem that powers builds and preflight systems across multiple…
Added 8 hours ago
JT
Technical Program Manager
Jobility Talent Solutions
Toronto, ON
- Contract
Comfortable engaging in technical conversations with engineering teams on topics like infrastructure, migrations, platform services, and cloud cost/operations, without needing to be a…
Added 8 hours ago
PI
Senior Database Reliability Engineer
PENN Interactive
Canada
- Full-time
We are looking for a Senior Database Reliability Engineer to join our thriving Engineering team, to work cross-functionally across engineering, focusing on the architecture for optimal…

Insight Global

Principal Platform Engineer

Vancouver, BC, Canada

Expected salary starting at $200,000 · Full-time

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Job details

Pay: Expected salary starting at $200,000
Job type: Full-time
Apply by: Dec 2, 2026
Experience: 10+ years of experience across platform engineering, cloud infrastructure, software engineering, or enterprise architecture
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Description

Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.

This is a senior individual contributor role with no direct reports, though this person will provide technical leadership and mentorship to engineering teams. The ideal candidate has personally built and operated enterprise AI/ML platforms in production, specifically within GCP and Vertex AI, and can own critical platform architecture decisions.

Responsibilities:

Own and evolve the enterprise AI platform architecture within GCP
Build and scale Vertex AI MLOps capabilities, including training pipelines, Model Registry, evaluation/approval workflows, and model serving
Establish MLOps/LLMOps standards across development, deployment, monitoring, and lifecycle management
Build GenAI platform capabilities including RAG, grounding, prompt management, guardrails, evaluations, agents, and MCP integration
Develop reusable Terraform modules, Infrastructure-as-Code, policy-as-code, and CI/CD pipelines
Create self-service “golden path” templates for engineering teams
Implement AI/ML observability and FinOps practices, including tracing, drift detection, latency, token usage, and cost monitoring
Establish platform standards around security, governance, scalability, and responsible AI
Remain hands-on with Python while owning key architecture decisions
Provide technical leadership and mentorship across engineering, data, architecture, security, and product teams

Required Skills & Experience

10+ years of experience across platform engineering, cloud infrastructure, software engineering, or enterprise architecture
Proven experience building and operating enterprise AI/ML platforms in production
Deep hands-on expertise with GCP and Vertex AI
Strong experience with MLOps and LLMOps architecture
Vertex AI experience across training pipelines, Model Registry, evaluation/approval, and model serving
GenAI experience with RAG, grounding, guardrails, evaluations, agents, and/or MCP
Strong Terraform, Infrastructure-as-Code, policy-as-code, and CI/CD experience
Experience building reusable/self-service platform capabilities for other engineering teams
Experience with AI/ML observability and FinOps
Advanced Python software engineering skills
Ability to independently own major platform architecture decisions

Pay Transparency:

Expected salary starting at $200,000

Vacancy Disclosure:

This role is for a new vacant opening within a growth project.

Please note, artificial intelligence tools are used to assist in screening and assessing applicants for this position.

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More about this job

Responsibilities

Own and evolve the enterprise AI platform architecture in GCP, building Vertex AI MLOps capabilities and GenAI features such as RAG, guardrails, evaluations, and agents. Develop reusable infrastructure and self-service templates, establish observability, FinOps, security, and governance standards, and provide hands-on technical leadership and mentorship.

Requirements

Requires 10+ years of experience in platform engineering, cloud infrastructure, software engineering, or enterprise architecture, with proven experience operating production enterprise AI/ML platforms. Candidates need deep GCP and Vertex AI expertise, strong MLOps/LLMOps and GenAI experience, Terraform and CI/CD skills, advanced Python ability, and the capacity to own major architecture decisions.

Skills

GCP
Vertex AI
MLOps
LLMOps
Generative AI
RAG
Terraform
Infrastructure As Code
Policy As Code
CI/CD
Python
AI/ML Observability
FinOps
Model Serving
Platform Architecture
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

GCP
Vertex AI
Enterprise AI Platform
AI/ML
MLOps
LLMOps
Training Pipelines
Model Registry
Model Serving
Generative AI
RAG
Grounding
Prompt Management
Guardrails
Evaluations
AI Agents
MCP Integration
Terraform
Infrastructure As Code
Policy As Code
CI/CD
Python
AI/ML Observability
FinOps
Drift Detection
Responsible AI
Cloud Infrastructure
Platform Engineering
Self-Service Templates
Security And Governance

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