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Added 15 days ago
Agentic SDET I
RBC
Toronto, ON
Full-time
…teams, and develop deep expertise in the Borealis agentic AI…
Added 14 days ago
AI/ML Engineer
Katalyst Data Management
Calgary, AB
Full-time
Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure…
Added 20 days ago
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 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Toronto, ON
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Calgary, AB
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Halifax, NS
$96,557 to $128,743 CAD / year
Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 19 days ago
AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
As an AI Engineer (Global Security), you will contribute to building RBC’s next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle…
Added 18 days ago
QA Engineer III
Zafin
Toronto, ON
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty,…
Added 19 days ago
AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
As an AI Engineer (Global Security), you will contribute to building RBC’s next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle…
Added 20 days ago
Software Engineer II
Diligent Corporation
Vancouver, BC
As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll…
Added 21 days ago
Senior Platform Engineer
Buyerlink
Victoria, BC
Full-time
…amount of legacy workload still on AWS. We are hiring a Senior Platform Engineer to join the team that builds and runs those…
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 20 days ago
Senior Developer, ServiceNow CSM - EN 395
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 22 days ago
Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 26 days ago
Lead AI Back-End Engineer
Network Solutions
Canada
Full-time
Set the technical architecture for our agent powered platform, choosing the right mix of LLMs, retrieval technologies, agent frameworks, and microservice patterns to meet reliability, cost,…
Added 26 days ago
Lead AI Back-End Engineer
Newfold Digital
Canada
Full-time
Set the technical architecture for our agent powered platform, choosing the right mix of LLMs, retrieval technologies, agent frameworks, and microservice patterns to meet reliability, cost,…
Added 27 days ago
Engineering Lead
OpusClip
Burnaby, BC
$230,000 to $350,000 CAD / year
Full-time
🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.
Added 22 days ago
AI Native Quality Engineer
Safe Fleet
Coquitlam, BC
Full-time
At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking…
Added 23 days ago
Senior Technical Account Manager
Docker
Remote, Canada
Full-time · Remote
4+ years in a customer-facing technical role (e.g., TAM, Solutions Architect, DevOps Consultant, Customer Engineer).
Added 26 days ago
Senior DevOps Engineer
CARET
Toronto, ON
Other
The Senior DevOps Engineer designs, automates, and operates secure, scalable, and resilient Microsoft Azure cloud platforms. This role serves as a senior technical owner across…
Added 29 days ago
Software Dev Staff Engineer
Quest Software
Canada
Full-time
Quest Software is seeking an AI Software Engineer to help define and advance AI-first software development practices for a cloud-native SaaS product on the Microsoft Azure platform. This…
Added 29 days ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Full-time
We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems,…

Network Solutions

Senior DevOps Engineer, AI Platform

Canada

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

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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 and operate the cloud infrastructure powering AI platforms, agent runtimes, and backend services across Azure and OCI. Design and maintain CI/CD pipelines, Kubernetes environments, and end-to-end observability systems to ensure production reliability.

Requirements

Requires 7+ years of experience in DevOps or Platform Engineering with deep expertise in Kubernetes and Microsoft Azure. Candidates must be proficient in Infrastructure as Code, cloud networking, and supporting asynchronous backend architectures.

Skills

Kubernetes
Microsoft Azure
Terraform
Jenkins
Python
Docker
Helm
CI/CD
Cloud Networking
Observability
PostgreSQL
Redis
RabbitMQ
Bitbucket
ArgoCD
Linux

Visa sponsorship

Not detected in the job text

Keywords

DevOps
SRE
Platform Engineering
AI Platform
LLM Gateway
RAG
MCP Services
Azure Kubernetes Service
Oracle Cloud Infrastructure
Terraform
Helm
Kubernetes
Jenkins
Bitbucket
Docker
ArgoCD
OpenTelemetry
Grafana
Prometheus
Sentry
FastAPI
PostgreSQL
Redis
RabbitMQ
Linux
Cloudflare
Envoy
GitOps
Microservices
Infrastructure as Code

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