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Added 33 mins ago
Lead Data Engineer
ZS
Toronto, ON
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data integration tools.
Added 1 hour ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies.
Added 1 hour ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 1 hour ago
M
Senior Routing Engine Developer (CX Platform)
Miratech
Canada
- Full-time
We are looking for a Senior Routing Engine Developer to design and build the next generation interaction routing platform powering enterprise-scale contact center operation. You will…
Added 2 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies.
Added 2 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 3 hours ago
A
Software Developer
AppDirect
Montreal, QC
- Full-time
Working knowledge and some experience with Messaging: RabbitMQ / Kafka
Added 5 hours ago
S
Java Developer
Synechron
Calgary, AB
- Full-time
We are seeking a highly motivated Java Backend Developer, the ideal candidate will have strong experience in Java, Spring Boot, RESTful APIs, microservices, cloud platforms, databases, and…
Added 5 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 5 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies.
Added 5 hours ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
Familiarity with Kafka or RabbitMQ, Kubernetes, Jenkins, observability platforms, API gateways, and security architecture.
Added 5 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies.
Added 5 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 6 hours ago
M
Senior Full Stack Java Engineer
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies.
Added 6 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 6 hours ago
NS
C++ / C# .Net Core Developer – Pricing & Risk Services (Real-Time, Grid, Cloud)
Novaren Solutions
Montreal, QC
- Full-time
Novaren Solutions is looking for a senior C++ / C# developer on behalf of a leading international corporate and investment bank, to join its Capital Markets technology division in Montréal.
Added 6 hours ago
M
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Experience with Kafka, RabbitMQ, or similar messaging and event-streaming technologies.
Added 6 hours ago
M
Senior Full Stack Java Engineer - CX & Contact Center Solutions
Miratech
Canada
- Full-time
Familiarity with Kafka or RabbitMQ, Kubernetes, Jenkins, observability platforms, API gateways, and security architecture.
Added 8 hours ago
A
Platform & Site Reliability Engineer
adidas
Woodbridge, ON
- Full-time
In this role, you will collaborate with a Solution Architect, Technical Lead, Product Owner, Software Developer, as well as quality engineering, security partners, and business stakeholders…
Added 9 hours ago
HP
Cloud Developer / Développeur Infonuagique
Hewlett Packard Enterprise
Montreal, QC · St. Laurent, Quebec, Canada
- $64,500 to $107,500 CAD / year
- Full-time
Cloud Developer / Développeur InfonuagiqueThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Added 11 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
We are seeking a highly skilled and experienced Machine Learning Engineering Developer II to join our team. This role requires a strong understanding of machine learning principles,…
Added 11 hours ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
Architect event-driven systems and real-time data processing solutions using Apache Kafka and MQ technologies.
Added 11 hours ago
MG
Java Engineer
Matrix Global
Toronto, ON
- Full-time
Integrate applications with messaging platforms such as Apache Kafka and MQ.
Added 12 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Machine Learning Engineering Developer II to join our team. This role requires a strong understanding of machine learning principles,…
Added 14 hours ago
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 USD / year
- Full-time
…who enjoys solving reliability, performance, scalability, and developer experience challenges through production-grade code and…

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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