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Added 1 hour 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 1 hour 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 1 hour ago
M
Senior Full Stack Java 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 1 hour 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 1 hour 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 2 hours 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 2 hours ago
M
Senior Full Stack Java 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 10 hours ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
Experience Level: Level 3 (senior): 5-7 years
Added 10 hours ago
NS
Senior QA Automation Engineer – Contact Center / IVR
N2P Systems
Toronto, ON
- Full-time
Experience with AWS Amazon Connect is highly desirable. This role will also provide technical leadership across maintenance releases, enhancements, and ongoing production support within a…
Added 1 day ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 4 days ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 7 days ago
NS
Senior QA Automation Engineer – Contact Center (French Speaking)
N2P Systems
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are looking for a Senior QA Automation Engineer with strong experience in Contact Center platforms, IVR/routing automation, and test automation, along with French-speaking capability.
Added 7 days ago
W
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Senior Software Development Engineer, you will be a technical leader on the team responsible for maintaining and building our pay-related features. This is a hands-on-keyboard role…
Added 11 days ago
T
Senior Manager, Engineering
TD
Toronto, ON
- Full-time
The Senior Manager, Engineering role requires in-depth experience in building enterprise scaled cloud platforms, enabling cloud services and compute capabilities, and codifying patterns for…
Added 11 days ago
D
AWS Architect/ Tech Lead
Deloitte
Toronto, ON
- Full-time
…throughout the transformation lifecycle. You will work closely with senior business and technology stakeholders, architecture governance forums, and delivery teams to translate business…
Added 12 days ago
EA
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
- Full-time
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 12 days ago
A
Senior Software Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk is looking for a talented Senior Software Engineer to join our growing Access team leading the User Management and Administration capabilities supporting all Autodesk customers!
Added 12 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 12 days ago
UR
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 13 days ago
Software Development Engineer, Senior Leader Experiences - Workforce Planning
Amazon
Vancouver, BC
As part of the Amazon-wide Amzonian Leadership Experiences team, the Senior Leadership team’s mission is to build workforce planning application suite. We develop philosophies, mechanisms…
Added 13 days ago
Software Development Manager, Ring Cloud Connectivity Org
Amazon
Toronto, ON
- Partner with senior leadership to communicate progress, surface risks, and influence technical and product direction
Added 13 days ago
O
Senior Software Engineer, PAM
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative,…
Added 13 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 13 days ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…
Added 14 days ago
A
Senior Network Development Engineer, Media Systems Engineering
Amazon
Windsor, ON
- Full-time
Amazon MGM Studios is seeking a Senior Network Development Engineer to lead the design, architecture, and operation of secure, high-performance network and wireless infrastructure across…

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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