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Added 1 min ago
AA
Spécialiste de la sécurité des occupants / Occupant Safety Certification Specialist
Airbus Aircraft
Montreal, QC
- Full-time
…entre Laval (station de métro Montmorency) et Mirabel, et une application de…
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AA
Spécialiste en charges et dynamique / Loads & Dynamics Specialist
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Montreal, QC
- Full-time
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Intégrateur.trice de Système de Cabine - Développement WWS / Cabin System Integrator - WWS Development
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- Full-time
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- Full-time
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Intégrateur.trice de Système de Gestion de Cabine / Cabin Management System Integrator
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- Full-time
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…les modifications techniques, la gestion des fournisseurs, le support à la production et les essais en…
Added 2 mins ago
EG
Software Development Engineer I
Expedia Group
Vancouver, BC · Canada - British Columbia - Vancouver
- Full-time
Help investigate production issues, support operational fixes, and escalate risks or blockers with guidance from teammates.
Added 48 mins ago
MU
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McGill University
Montreal, QC
- Full-time
…imaging, and cone beam computed tomography (CBCT). Ensure the production of high-quality diagnostic images and adherence to radiation safety and infection control standards. Support daily…
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Sr NetIQ Engineer (NetIQ OpenText)
CIBC
Toronto, ON · ON
- Full-time
You can demonstrate experience in: NetIQ OpenText Identity Manager technologies, production support, and enterprise application environments. You have strong working knowledge of IDM…
Added 48 mins ago
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Toronto, ON · Waterloo, ON
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Assist squads to provide Tier 2 and 3 support under the application criticality framework
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Senior Product Delivery Manager
Manulife
Toronto, ON
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…and operations leaders to deliver innovative solutions that support front-to-back investment processes. If you are passionate about product delivery, capital markets technology, and solving…
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Platform Engineer, Spa and Leisure Technologies
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Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Platform Engineer, Spa & Leisure is responsible for the technical ownership, engineering, integration, support, and lifecycle management of the Spa, Wellness, Membership, and Leisure…
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Toronto, ON · Waterloo, ON
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…a senior level, owning day-to-day tactical execution across production operations, vendor delivery, financial governance, reporting, and cost management - so the Head of P&P can focus on…
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Data Engineer
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Familiarity with production release and operational support model
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Data Engineer
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Sessional Instructor, Sustainable Energy Development Program: Energy Systems II
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Please submit your application online via the 'Apply Now' link. In support of your application, please provide the following in your application package (in a single PDF):
Added 2 hours ago
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Verifying accuracy and completeness of monthly production of BCAR and LRR returns.
Added 3 hours ago
Engineer Associate - Multiple Locations
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Network Solutions

Senior DevOps Engineer, AI Platform

Canada

Full-time

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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

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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

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