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Added 24 mins ago
System Level Test Engineer - 18758
Synopsys Inc
Ottawa, ON
Full-time
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
Added 54 mins ago
AI/ML Engineer
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Vancouver, BC
Full-time
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Added 1 hour ago
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Added 7 hours ago
AI Platform Engineer, Silicon Design Infrastructure
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Added 7 hours ago
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Senior Data Engineering
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Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
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Ottawa, ON
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Position Title: Principal Data Quality and Governance Engineer
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Toronto, ON
$175,000 to $205,000 USD / year
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Added 11 hours ago
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Added 11 hours ago
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Makai Labs

Senior Azure Platform / DevOps Engineer

Canada

Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

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Original job description

About Makai

Makai uses best-in-class AI and data to solve real-world operational and strategic challenges at scale. We help businesses with enterprise automation, human-machine teaming, product design and development, and market intelligence. Until now, people have had to learn and adapt to software. Makai creates solutions that adapt to people because technology will never be 100% accurate. People are essential for all of our human-machine teaming solutions.

About The Role

We build and run cloud platforms for our clients. A lot of the time that means standing up a reusable Terraform foundation and adapting it for each client and environment. You'd own these platforms: design them, build them from an empty subscription, keep them running, and act as the person who actually knows how the whole thing fits together.

This is a senior role with a lot of trust attached. The clients differ, the topologies differ, the pipelines differ. What stays constant is Azure and the expectation that you can size up an unfamiliar setup, make the right calls, and own the result.

The ideal candidate will be able to

Stand up new platforms from scratch: network, compute, data, and the pipeline to ship to them.
Make the architecture calls and live with them. That includes knowing when a Terraform change is a safe in-place update and when it's a destroy-and-replace you should never run blind against production.
Run migrations that carry real risk. Move a live platform onto a new foundation, read the plan correctly, write the runbook, and have a rollback ready before you start.
Keep platforms healthy over time: provider upgrades, drift, security, and not letting a shared foundation rot as more clients land on it.
Work directly with the client's own DevOps engineers. Often they're the ones running the apply and you're advising, so you need to explain a plan, unblock a failure quickly, and be someone the engineer holding the keys trusts.

Qualifications

Azure experience is the hard requirement. You've built and run production Azure yourself, not just used modules someone else wrote. Specifically:

Azure networking is where most of the work lives: VNets and subnets, private endpoints and private DNS zones, NSGs and UDRs, NAT, Application Gateway and WAF, load balancers, and hub-and-spoke / Virtual WAN.
Terraform on Azure, with state treated as something you respect: workspaces, migrations, imports, remote backends, and the discipline not to force an apply through a lifecycle guard.
The delivery path: Azure Container Registry, VM Scale Sets and cloud-init, and CI/CD with Azure DevOps or GitHub.
Azure data services: Postgres Flexible Server, managed Redis, Blob storage, and a real sense of their sizing, failover, and cutover risks.
Entra ID and RBAC: app registrations, service principals, role assignments scoped properly across subscriptions.
Clear writing and a level head on a live call. You can hand someone a runbook they can follow without you in the room.

Nice-to-haves

Azure certs (AZ-104, AZ-305).
Temporal or similar workflow runtimes, and scripting (Bash, Python) for the glue.
Past consulting or client-embedded work. You've been the outside expert before.

How We Work

Small senior teams, real ownership. We'd rather have one engineer who understands a platform top to bottom than several who each own a slice.

Core values for Makai employees

Be a flexible, innovative and creative thinker
Be congenial and a team player
Be self-sufficient
Be self-driven with an ownership mentality
Have a strong work ethic

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More about this job

Responsibilities

Design, build, and operate reusable Azure platforms for clients, including networking, compute, data services, and deployment pipelines. Lead high-risk migrations and ongoing platform maintenance, while advising client DevOps engineers and providing clear plans, runbooks, and rollback procedures.

Requirements

Requires hands-on experience building and operating production Azure environments, especially Azure networking, Terraform state management, CI/CD, Azure data services, and Entra ID/RBAC. Candidates should be able to make sound architecture decisions, manage risky changes and migrations, communicate clearly, and take ownership; Azure certifications, workflow runtimes, scripting, and consulting experience are preferred.

Skills

Azure Platform Engineering
Azure Networking
Terraform
Infrastructure as Code
Azure DevOps
GitHub Actions
CI/CD
Azure Container Registry
Virtual Machine Scale Sets
Azure Data Services
PostgreSQL
Redis
Entra ID
Role-Based Access Control
Cloud Migrations
Runbook Writing

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Azure
Terraform
Azure Networking
Virtual Networks
Private Endpoints
Private DNS Zones
Network Security Groups
User-Defined Routes
NAT
Application Gateway
Web Application Firewall
Load Balancers
Hub-And-Spoke Architecture
Virtual WAN
Terraform State
Azure Container Registry
Virtual Machine Scale Sets
Cloud-Init
Azure DevOps
GitHub
PostgreSQL Flexible Server
Managed Redis
Blob Storage
Entra ID
Role-Based Access Control
AZ-104
AZ-305
Temporal
Bash
Python

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