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Added 8 mins ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to design, build, test, and maintain reliable full-stack applications. You will use Java and Spring Boot to develop scalable backend…
Added 8 mins ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 23 mins ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build reliable solutions for forecasting, staffing, scheduling, real-time adherence,…
Added 23 mins ago
M
Senior Level Full Stack Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
We are looking for a Senior Full Stack Engineer to provide hands-on technical leadership across CX and contact center solutions. You will shape scalable solutions using Java, Spring Boot,…
Added 38 mins ago
V
Mobile Application Developer - Consumer Social Platform
VAZA
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We're looking for a Full Stack Mobile Software Engineer to build and scale VAZA's native iOS and Android apps. You'll work directly with the founding team to ship new features, sharpen…
Added 1 hour ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
We are seeking a highly skilled Platform & SRE Engineer who can provide the cloud, platform, DevOps, reliability, security, deployment, observability, and operational foundation that…
Added 1 hour ago
Senior Software Engineer, Applied AI & Customer Solutions
Coursera
Toronto, ON
As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit…
Added 3 hours ago
AC
AWS DevOps Engineer
Adastra Corporation
Markham, ON
- Full-time
Adastra is looking for an Associate DevOps Engineer to join our AWS Practice and support cloud modernization, data platform, and migration initiatives. The role will focus on building and…
Added 3 hours ago
SOFTWARE ENGINEER III - HYBRID
Green Shield Canada
Toronto, ON
We are looking for a Full Stack Engineer to build and operate systems that directly shape how customers experience our services. This is a hands-on engineering role on products used in…
Added 3 hours ago
Q
AI Agent Engineer
Qlik
Canada
- $92,700 to $116,000 CAD / year
- Full-time
…ungoverned, unadopted, and underperforming. The Agentic AI Engineer exists to make sure that never happens at…
Added 3 hours ago
M
Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
The Observability Experiences team is hiring a Software Engineer 2 to build the next generation of tools and technologies for monitoring services and infrastructure in Azure and Microsoft…
Added 3 hours ago
H
eTrading Full Stack Engineering - Network
HSBC
Toronto, ON
- Full-time
Engineer secures and resilient client-facing connectivity using appropriate routing segmentation and redundancy patterns and coordinate requirements testing and implementation with clients…
Added 3 hours ago
H
eTrading Full Stack Engineering - Compute
HSBC
Toronto, ON
- Full-time
Engineer basic input output system (BIOS), firmware, kernel and user space settings for deterministic performance including CPU isolation, interrupt request (IRQ) placement, power policy,…
Added 7 hours ago
NV
Databricks Architect (ID#5473)
New Value Solutions
Vancouver, BC · Greater Vancouver, BC
- Contract
Provide recommendations for platform maturity, automation, CI/CD, observability, and ongoing governance.
Added 7 hours ago
AI
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 7 hours ago
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 USD / year
- Full-time
…incident-response software is looking for a Senior Platform Engineer to help scale the infrastructure behind its…
Added 8 hours ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
Google Cloud Professional Machine Learning Engineer
Added 8 hours ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 8 hours ago
BS
Tech Transformation - Application Network Engineer
Brainhunter Systems Ltd
Toronto, ON
- Contract
Role Title: Tech Transformation - Application Network Engineer
Added 8 hours ago
QW
SRE/ Platform Engineer
Quantum World Technologies Inc.
ON · Ontario, Canada
- Contract
Engineer and administer JAMS Scheduler| including Scheduler| Agents| Executors| queues| resources and job configuration. Improve platform reliability| performance| capacity| resilience and…
Added 8 hours ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
…and promotions. The project team needs a seasoned Senior Data Engineer to help lead the charge, stabilize key deliverables, and guide our technical strategy. This is a critical engagement…
Added 8 hours ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
Build the observability to answer any question about a request after the fact - metrics, logs, and dashboards across Prometheus, Grafana, Loki, and Snowflake.
Added 8 hours ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 9 hours ago
B
Principal Cloud Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic, passionate professional for a Principal Cloud Engineer position with 8+ years of experience in multiple large scale Azure enterprise environments. We are…
Added 9 hours ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…illustration experience. We are seeking a Full-Stack Software Engineer to join our Calculations Squad and develop capabilities that help advisors and customers make informed life insurance…

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 5, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Oct 6, 2026

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 the enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native identity, and Kubernetes deployments. Implement governance, authorization, observability, and production support controls while collaborating with security, network, and platform teams.

Requirements

Requires production-grade Python and web-framework experience, hands-on Kubernetes, practical OAuth 2.0/OIDC, and experience with multiple Azure and AWS services. Also requires infrastructure-as-code and CI/CD experience, SQL and schema migrations, testing discipline, and clear communication; AI gateway, LLM platform, and observability experience are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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