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Added 4 mins ago
DevOps Manager
Rightsline Inc
Toronto, ON
$85,000 to $95,000 CAD / year
Rightsline is hiring a DevOps Manager, based in Toronto, to lead the team that owns our cloud platform, delivery pipelines, and production reliability across North America and Europe. You…
Added 17 mins ago
Engineer - Automation
Skyjack Inc.
Guelph, ON
Full-time
As an Automation Engineer at Skyjack, you will be responsible for designing, programming, and maintaining automation systems that enhance our manufacturing operations. You will work with…
Added 19 mins ago
Release Train Engineer II
TD
Toronto, ON
Full-time
…principles by providing feedback to the practice leaders based on platform knowledge, experience and identification of…
Added 19 mins ago
Sr. Full Stack Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a Senior Engineer to join the Equity Derivatives Technology Team and embrace a broad range of tasks associated with developing application and systems solutions to…
Added 19 mins ago
Quality Engineer Manager, TD Securities
TD
Toronto, ON
Full-time
Work with partners, to ensure quality is built in. Coaches QE practitioners across Platform teams.
Added 34 mins ago
Salesforce & RevOps Systems Administrator
Amilia
Montreal, QC · Greater Montreal, QC
Full-time
Amilia is transforming the recreation and activities market with its innovative, purpose-built SaaS platform. Designed for municipalities, community centers, nonprofits, businesses, and…
Added 46 mins ago
Sr AI Developer Platform/ Platform Engineering
FICO
Canada
Full-time
We call that environment the harness (Agent = Model + Harness). As a Lead Harness Engineer you'll build and own the individual controls that make up that harness, working end-to-end from…
Added 46 mins ago
Site Reliability Engineer
Envision Technology Solutions
Toronto, ON
Full-time
We are seeking a Site Reliability Engineer to join the Technical Operations team supporting our Embedded Finance platform. In this role, you will own the reliability and resiliency of a…
Added 48 mins ago
Technical Implementation Specialist
Martell Ventures
Kelowna, BC
Build custom integrations when a customer's stack demands it, using Composio, MCP, APIs, and webhooks, and work with engineering on anything that needs platform changes.
Added 48 mins ago
Senior Data Engineer
Tubi - Canada
Toronto, ON
As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights.…
Added 1 hour ago
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and…
Added 1 hour ago
Process Engineer
Amaris Consulting | Part of Mantu
Whitby, ON
Full-time
We are seeking a Process Engineer to support a portfolio of 6–7 commercial-stage pharmaceutical client accounts within an Oral Solid Dose (OSD) manufacturing environment. This role combines…
Added 1 hour ago
Process Engineer
Richardson Wealth
Toronto, ON
Full-time
The Process Engineer is responsible for driving the enhancement of business processes at Richardson Wealth to increase efficiency, productivity, quality, and the overall advisor and client…
Added 1 hour ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 hour ago
Platform Engineer
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 1 hour ago
Microsoft / Terraform Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 1 hour ago
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
Full-time
Senior Software Engineer (Salesforce) - Specialty Health Technology
Added 1 hour ago
Senior Structural Engineer
McElhanney
Terrace, BC
Full-time
At McElhanney, we're looking for a Senior Structural Engineer who wants to do more than deliver great engineering.
Added 1 hour ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 hour ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 1 hour ago
Cloud Network Engineer
FNZ Group
Toronto, ON · CA Toronto Yonge St
$120,000 to $150,000 CAD / year
Full-time
We are looking for an experienced Cloud Network Engineer, to have have an excellent command of network design principles and a demonstrated ability to architect scalable, secure, and…
Added 1 hour ago
Software Engineer, Payments and Revenue
Mecka
Richmond Hill, ON
$150,000 to $180,000 CAD / year
Full-time
Industry: Experience at a leading fintech or payments company such as Stripe, Coinbase, Block, Adyen, Plaid, Brex, Ramp, Wise, or a similarly complex financial platform.
Added 1 hour ago
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
$118,300 to $168,300 CAD / year
…company's games - Central Technology! As a Principal Software Engineer, you will be responsible for the technical vision, design and implementation of AI-powered tools and systems that…
Added 1 hour 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 1 hour ago
ML Runtime and Kernel Engineer - Core ML
Cerebras
Toronto, ON
Full-time
We are looking for an engineer to bridge the gap between promising research ideas and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and…

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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