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Added 7 mins ago
AI Engineer
GEI Consultants, Inc.
Guelph, ON
$110,000 to $150,000 CAD / year
Full-time
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.
Added 5 hours ago
Senior Software Engineer – Full Stack
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Toronto, ON
Full-time
Infrastructure automation tools such as Ansible scripts and HELM charts.
Added 6 hours ago
DevOps Engineer
ZTR
London, ON
Full-time
As the DevOps Engineer, you will work closely with development, security, and IT teams to operate, maintain, and continuously improve ZTR’s cloud platform infrastructure, ensuring reliable,…
Added 6 hours ago
AI Engineer Intern
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Vancouver, BC
Temporary
Experience with cloud platforms (AWS, GCP, or Azure) and cloud-native tools (e.g. terraform) for managing infrastructure.
Added 8 hours ago
Principal Sales Systems Engineer
Jobgether
Canada
Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Sales Systems Engineer based in Canada.
Added 8 hours ago
Senior Security Detection Engineer (Global Security)
RBC
Toronto, ON
Full-time
The role of the Senior Security Detection Engineer is to provide specialized subject matter expertise for the Detection Engineering & Automation (DEA) team, for RBC's Global Cyber Security.…
Added 11 hours ago
Azure Data Engineer
Spait Infotech
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Design and develop scalable data pipelines using Azure services.
Added 11 hours ago
DevOps Specialist
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Toronto, ON
Full-time
Manage and optimize cloud infrastructure and services while ensuring scalability, reliability, performance, and security.
Added 11 hours ago
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Hays
Toronto, ON
Contract
We are seeking a highly skilled Senior/Lead Platform Engineer with strong expertise in Azure, Databricks, Python, PySpark, and Spark SQL to design, develop, and support scalable cloud-based…
Added 11 hours ago
Microsoft / Terraform Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
Contract
The ideal candidate will have strong expertise across the Microsoft Azure ecosystem, Infrastructure as Code, CI/CD, cloud automation, and platform engineering. The engineer will be…
Added 11 hours ago
Cloud Network Engineer
FNZ Group
Toronto, ON · CA Toronto Yonge St
$120,000 to $150,000 CAD / year
Full-time
Align cloud network architecture with broader infrastructure, security, identity, and application strategies
Added 12 hours ago
Java Backend developer - Java 17, DevSecOps, Kubernetes
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
Temporary
We are seeking a Software Engineer to join a Global Enterprise Technology Team responsible for the development, modernization, security and operational reliability of mission critical…
Added 12 hours ago
Software Engineer II, Organizations (Auth0)
Okta
Toronto, ON
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 12 hours ago
Senior Manager, Data Services & Platforms
Purolator
ON · Mississauga, ON
Drive ITS collaboration on infrastructure, cloud provisioning, network, and security requirements for data platforms and AI components
Added 14 hours ago
AI Deployment & Solutions Engineer
Tata Consultancy Services
Toronto, ON
Full-time
The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud,…
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Manager - Release, Configuration & Environment Management
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Toronto, ON
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…professionals while partnering closely with Development, QA, Security, Infrastructure, Platform Engineering, DevOps, and business…
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Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
$70 to $77 CAD / hour
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We are seeking a highly skilled Senior Data Engineer to join our growing Data & AI Marketplace team. In this role, you will be responsible for designing, building, and optimizing scalable…
Added 14 hours ago
Staff Information Security Engineer - Threat Detection & Response
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Vancouver, BC
Cloud & Infrastructure Fluency: Deep technical experience analyzing and building threat coverages across enterprise multi-cloud environments (AWS, Azure, or GCP), core identity providers,…
Added 15 hours ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
…principles and drives efficiency and consistency, controls security and strong governance, and promotes innovation, enabling teams to build applications that leverage AI capabilities and…
Added 15 hours ago
Senior AI Engineer
Amyantek
Toronto, ON · Greater Toronto Area, Canada
Contract
Senior AI Engineer – Production AI / LLM Applications
Added 15 hours ago
Staff Software Engineer
Atlas HXM
Canada
We’re looking for a Staff Software Engineer (Product) to help shape the technical evolution of our product. This is a senior individual contributor role focused on building high-quality…
Added 16 hours ago
IAM Engineer
Mindlance
Toronto, ON
Contract
Job Title: Senior IAM Systems Engineer – Advanced
Added 16 hours ago
RPA Platform Admin / Platform Engineer
BMO
Toronto, ON · SCC
Full-time
Work closely with Automation Developers, Infrastructure Teams, Security Teams, and Business Stakeholders.
Added 16 hours ago
Full Stack Engineer
BITS Recruiting
Toronto, ON
Contract
…expertise in the Microsoft technology stack, modern web frameworks, Azure cloud infrastructure, and enterprise architecture to deliver high-performing healthcare…
Added 17 hours ago
DevOps Developer
RBC
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Senior DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our…

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Job type: Contract
Apply by: Oct 28, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Sep 28, 2026

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Original job description

Job Title: AI Platform Engineering Specialist

Experience Level: Level 3 (senior): 5-7 years

12-month contract position

Location: Montreal (Day 1 onboarding onsite/in-office presence 3x/week)

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s technology principles and drives efficiency and consistency, controls security and strong governance, and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. This role is for a platform engineering specialist who will help build a firmwide AI development platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.

The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, cloud (AWS, Azure, and/or Google), API-based development, REST framework, data engineering, large-scale API gateway environments, etc. Knowledge of AIML and hands-on experience implementing solutions using generative AI are also preferable. The candidate will have great communication skills, a team-based mentality, and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. In the Technology division, we leverage innovation to build the connections and capabilities that power our firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Key responsibilities:

Design, build, and operate the AI Gateway's Azure and AWS deployments, taking them from proof of concept to production.
Develop and extend the Python services (FastAPI / Flask) that provide the Gateway's inference, onboarding, and administrative APIs.
Integrate new model providers and model families, including Azure AI Foundry / Azure OpenAI and AWS Bedrock, covering request signing, streaming responses, failover, and quota handling.
Implement cloud-native authentication and secrets handling - Entra ID with Managed Identity and workload federation, AWS IAM roles and STS - with the goal of eliminating stored credentials.
Build and evolve the entitlement and authorization data layer across SQL Server and PostgreSQL, including schema changes, migrations, and data-correctness controls.
Own the platform controls that make the Gateway a governance point: rate limiting, token accounting, content guardrails, audit logging, and chargeback reporting.
Deploy and run the service on Kubernetes (on-premises, AKS, and EKS) using Helm, GitOps, and Terraform, and keep the CI/CD pipelines (Jenkins, GitHub Actions) healthy.
Build the observability to answer any question about a request after the fact - metrics, logs, and dashboards across Prometheus, Grafana, Loki, and Snowflake.
Work with cloud platform, network, and security teams on connectivity, egress policy, network controls, and architecture review, and produce the evidence those reviews require.
Support production: participate in on-call, investigate incidents, and drive fixes and hardening back into the code.
Write tests and documentation as part of delivery, and review peers' changes.

Required qualifications:

Strong, production-grade Python, including a web framework - FastAPI or Flask - and a real testing discipline.
Hands-on Kubernetes: deploying, configuring, and troubleshooting workloads, not solely reading manifests.
Practical OIDC / OAuth 2.0: token validation, JWKS, client-credentials flows, and claim and audience handling.
Microsoft Azure, hands-on across at least three of AKS, Entra ID (app registrations, service principals, Managed Identity / Workload Identity), Azure OpenAI or Azure AI Foundry, Key Vault, Azure Database for PostgreSQL, Azure Cache for Redis, and Azure Monitor.
Amazon Web Services, hands-on across at least three of: IAM and STS / assume-role, SigV4 request signing, Bedrock, EKS, VPC endpoints and private networking, Secrets Manager, and CloudWatch.
Infrastructure as code - Terraform, Bicep, or CDK - and CI/CD with Jenkins or GitHub Actions.
SQL and relational data modeling, including schema migrations.
Clear written and verbal communication and the ability to work directly with security, network, and platform teams.

Preferred qualifications:

Experience building or operating an API gateway, reverse proxy, or multi-tenant platform.
LLM platform engineering specifics: streaming and server-sent events, token accounting, prompt and response guardrails, and model evaluation.
Kafka and Snowflake for audit and consumption data pipelines.
Observability depth: Prometheus and PromQL, Grafana, Loki, OpenTelemetry.
Redis or Valkey beyond basic caching - counters, TTLs, distributed rate-limiter semantics.
Experience delivering in a regulated enterprise environment with corporate proxies, private networking, and strict change control.

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More about this job

Responsibilities

Build, deploy, and operate a secure enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native identity, authorization, and governance controls. Maintain Kubernetes deployments, CI/CD, observability, production support, and documentation while collaborating with security, network, and platform teams.

Requirements

Requires production-grade Python and web-framework experience, hands-on Kubernetes skills, practical OIDC/OAuth 2.0 knowledge, and experience with multiple Azure and AWS services. Candidates also need infrastructure-as-code and CI/CD experience, SQL data-modeling and migration skills, and strong communication abilities; experience level is specified as 5–7 years.

Skills

Python
FastAPI
Flask
Kubernetes
Microsoft Azure
Amazon Web Services
OAuth 2.0
OpenID Connect
Terraform
CI/CD
SQL
API Gateway
Generative AI
Infrastructure as Code
Observability
Cloud Security

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Development Platform
AI Gateway
Python
FastAPI
Flask
Kubernetes
Azure
AWS
Azure OpenAI
Azure AI Foundry
Amazon Bedrock
Entra ID
AWS IAM
STS
OAuth 2.0
OIDC
Terraform
Helm
GitOps
Jenkins
GitHub Actions
SQL Server
PostgreSQL
Prometheus
Grafana
Loki
Snowflake
Kafka
OpenTelemetry

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