Find work in Canada.

487,253 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 20 days ago
C
AI Product Scaling Director
CIBC
Toronto, ON
- Full-time
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of…
Added 21 days ago
KC
Site Reliability Engineer
KPMG Canada
Kitchener, ON
- Full-time
The OPS Site Reliability Engineer will be a focal role owning and ensuring the fluent operations of Managed Services offerings in the KPMG production cloud environment. The role will be…
Added 22 days ago
CI
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Strong understanding of DevOps, platform engineering, security-by-design, observability, and operational resilience.
Added 22 days ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…to improve Public Cloud Security across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud…
Added 23 days ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Toronto, ON
- Full-time
…to improve Public Cloud Security across all tenants. In this role as a Staff Cloud Security Engineer, you will play a crucial role in developing innovative solutions to enhance RBC's Cloud…
Added 23 days ago
W
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small, cross-functional pod,…
Added 23 days ago
Infrastructure Software Engineer
CCLIM - Quantitative Equity
Vancouver, BC
The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data…
Added 23 days ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared…
Added 23 days ago
C
Backend Engineer
Creator.co
Vancouver, BC
- Full-time
Cloud-Aware: You don’t need to be a pure DevOps engineer, but you understand how code behaves inside Docker containers, behind AWS API Gateways, and inside auto-scaling cloud groups.
Added 23 days ago
GM
Principal Software Engineering - Virtualization
General Motors
Markham, ON
- Full-time
General Motors is seeking a highly skilled and experienced professional to join our team as the Staff Engineer of Software Engineering, Embedded Platform. As a Continuous Integration…
Added 23 days ago
GL
Data Operations Engineer
goeasy Ltd.
Mississauga, ON
- Full-time
The Data Operations Engineer is responsible for supporting, maintaining, and continuously improving goeasy's enterprise data platform. This role focuses on ensuring the reliability,…
Added 23 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 23 days ago
Industrial Edge Integration Engineer - Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking an Industrial Edge Integration Engineer to help integrate the Physical AI Runtime with SIMATIC AX and Siemens Industrial Edge. SIMATIC AX is Siemens' software-defined…
Added 23 days ago
MS
Senior DevOps Engineer
Motorola Solutions
Vancouver, BC
- Full-time
We are seeking a highly experienced and passionate Senior DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the…
Added 23 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Strong interactive communication skills - speaking live with others is extremely important for this role
Added 23 days ago
Collaboration & AI DevOps Engineering Specialist (Microsoft 365 & CoPilot)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
We are seeking a Collaboration & AI DevOps Engineering Specialist with a strong technical background to design, build, operate, and continuously improve our Microsoft 365 collaboration…
Added 23 days ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 23 days ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 23 days ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
This role is primarily focused on software and infrastructure, with close collaboration across robotics data, ML research, QA, DevOps, edge runtime, and platform integration teams.
Added 23 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 23 days ago
Senior Data Engineer
Pomerleau
Montreal, QC
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 24 days ago
W
Principal Software Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Evisort Engineering is growing! As a Principal Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 24 days ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 24 days ago
AI
AI Platform Engineer - DevOps, Python
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
AI Platform Engineer - DevOps | Python, TypeScript, CI/CD, Kubernetes, LLMOps
Added 24 days ago
TC
Database Engineer
THE CANADIAN REAL ESTATE ASSOCIATION
Ottawa, ON
- $110,000 to $135,000 CAD / year
- Full-time
We are seeking an experienced Database Engineer to join our Database Engineering team and help support its evolving responsibilities. This role combines database engineering, database…

Network Solutions

Senior DevOps Engineer, AI Platform

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 2, 2026

Original job description

Who We Are

At Network Solutions, we’ve been trusted for decades to help people get online and stay ahead. We’ve been here since the beginning of the internet, and we’re still building for what comes next.

As the original digital identity authority, we help secure domain names, protect brands, and safeguard the infrastructure businesses rely on. We empower our customers to own and manage the assets that define them online, while delivering enterprise-grade security to protect against virtual threats. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence, making the most of our decades of experience.

The Network Solutions team is here to help online businesses protect what’s theirs and build for tomorrow. That’s why millions trust us to protect their domains, brands, and websites every day.

The impact you’ll make

We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared platform capabilities. Our environment includes a centralized LLM gateway, Python-based agent runtimes, RAG workers, MCP services, asynchronous processing, databases, caches, queues, and observability services.

You will work with AI engineers, application engineers, and architects who define technical designs, then independently translate those designs into reliable, scalable, secure, and observable production infrastructure across Microsoft Azure and Oracle Cloud Infrastructure.

What You’ll Do

Translate application and platform technical designs into production ready cloud infrastructure with minimal supervision.
Design, provision, operate, and troubleshoot Kubernetes environments, primarily Azure Kubernetes Service and Oracle Kubernetes Engine.
Support AI workloads including LiteLLM based gateways, Python agent runtimes, RAG workers, MCP services, background workers, and asynchronous processing pipelines.
Design and manage ingress and egress networking, load balancers, DNS, TLS, private connectivity, routing, NAT, firewalls, network policies, and service to service communication.
Build and operate infrastructure for web applications and backend services, including APIs, databases, caches, queues, scheduled jobs, and event driven workloads.
Build and maintain CI/CD pipelines using Jenkins and Bitbucket, integrating Docker, Helm, Kubernetes, ArgoCD, and container registries.
Automate infrastructure provisioning and configuration using Terraform, Helm, Kubernetes manifests, Python, Bash, and related tooling.
Implement end to end observability using metrics, logs, distributed tracing, dashboards, alerts, health checks, and SLOs.
Own production readiness, incident troubleshooting, root cause analysis, scalability, reliability, and infrastructure cost optimization.
Create reusable infrastructure patterns that allow engineering teams to launch new services quickly and consistently.

What We’re Looking For

7 or more years of experience in DevOps, SRE, Platform Engineering, Cloud Infrastructure, or a related role.
Strong hands on experience operating production Kubernetes environments and deep knowledge of networking, scheduling, storage, autoscaling, security, and troubleshooting.
Strong Microsoft Azure experience, including AKS, networking, identity, storage, and monitoring. OCI experience is preferred, or demonstrated ability to work across cloud providers.
Strong cloud networking knowledge across virtual networks, subnets, routing, NAT, load balancers, private networking, DNS, TLS, firewalls, ingress, and egress.
Strong experience with Jenkins, Bitbucket, Docker, Terraform, Helm, Kubernetes, and Infrastructure as Code.
Proven experience supporting production web applications and backend services, including REST APIs, microservices, background workers, and asynchronous architectures.
Hands on experience with databases, caching, and messaging systems such as PostgreSQL, Redis, RabbitMQ, or equivalent technologies.
Experience implementing production observability using OpenTelemetry, Grafana, Prometheus, Sentry, cloud monitoring, or similar tools.
Strong Linux, systems, and production troubleshooting skills.

Application engineering knowledge

You do not need to be a full time application developer, but you should understand how modern backend systems work and be able to troubleshoot across application and infrastructure boundaries.

Working knowledge of Python, especially backend services built with frameworks such as FastAPI.
Familiarity with at least one additional language such as C#, Java, Go, JavaScript, or TypeScript.
Understanding of HTTP, HTTPS, DNS, TCP/IP, proxies, authentication, APIs, connection pooling, caching, concurrency, queues, retries, dead letter queues, and asynchronous processing.
Ability to read application logs and stack traces and diagnose latency, memory, CPU, connection, and dependency issues.

How You’ll Work

You will frequently receive a technical design for a new AI workload, application, backend service, or platform capability. From that design, you should be able to independently determine and implement the infrastructure needed to run it in production.

Determine the required cloud resources, Kubernetes configuration, namespaces, scaling model, and supporting services.
Configure ingress and egress, private connectivity, DNS, TLS, service communication, identities, and secrets.
Provision and operate dependencies such as PostgreSQL, Redis, RabbitMQ, storage, and other shared services.
Build the Jenkins and Bitbucket CI/CD flow for build, test, container publishing, deployment, validation, and rollback.
Define observability, health checks, dashboards, alerts, capacity monitoring, and operational runbooks before production launch.
Own infrastructure delivery through UAT and production, partnering with architects and engineers when design tradeoffs require discussion.

What Will Make You Stand Out

Experience supporting AI or machine learning platforms, LLM gateways, agent runtimes, RAG pipelines, or MCP services.
Experience with Cloudflare, Envoy, ArgoCD, GitOps, and OpenTelemetry.
Experience building reusable infrastructure platforms for high scale SaaS or customer facing applications.
Experience operating distributed backend systems using RabbitMQ, Redis, PostgreSQL, and similar technologies.

AI or machine learning infrastructure experience is helpful, but not required. Strong experience with Kubernetes, web and backend infrastructure, networking, queues, databases, CI/CD, observability, and production cloud operations is the foundation for this role.

#NetworkSolutions

Apply About employer

More about this job

Responsibilities

Build, operate, and troubleshoot secure, scalable, production infrastructure for AI platforms, web applications, backend services, and shared capabilities across Azure and Oracle Cloud Infrastructure. Own Kubernetes environments, networking, CI/CD, infrastructure automation, observability, production readiness, incident response, reliability, and cost optimization.

Requirements

Requires at least 7 years of experience in DevOps, SRE, platform engineering, cloud infrastructure, or a related field, with strong production Kubernetes, Azure, cloud networking, CI/CD, and Infrastructure as Code experience. Candidates should also understand backend services and asynchronous systems, have experience with databases, caches, messaging, observability, Linux, and production troubleshooting, and possess working knowledge of Python.

Skills

Kubernetes
Microsoft Azure
Azure Kubernetes Service
Oracle Cloud Infrastructure
Cloud Networking
Terraform
Jenkins
Bitbucket
Docker
Helm
Python
CI/CD
Infrastructure as Code
Observability
PostgreSQL
Redis

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Site Reliability Engineering
Platform Engineering
Microsoft Azure
Azure Kubernetes Service
Oracle Cloud Infrastructure
Oracle Kubernetes Engine
Kubernetes
Cloud Networking
Terraform
Jenkins
Bitbucket
Docker
Helm
ArgoCD
GitOps
Python
FastAPI
LiteLLM
RAG
MCP Services
PostgreSQL
Redis
RabbitMQ
OpenTelemetry
Grafana
Prometheus
CI/CD
Infrastructure as Code
Distributed Tracing

Report this job