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Added 18 hours ago
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Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 19 hours ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…
Added 21 hours ago
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Senior Product Engineer II - Backend
Docebo
Toronto, ON
- $123,400 to $164,500 CAD / year
- Full-time
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 22 hours ago
D
Senior Product Engineer II - Backend
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical…
Added 23 hours ago
Applied AI Engineer
ContactMonkey
Toronto, ON
You'll work alongside senior engineers, Product, and our Chief Product & Technology Officer (CPTO) to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and…
Added 1 day ago
SA
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, ON
- Full-time
DevOps, SRE, or software development experience.
Added 1 day ago
MR
Senior Platform Engineer/ High Growth
Motion Recruitment
Toronto, ON
- $190,000 to $220,000 USD / year
- Full-time
…reliability and incident-response software is looking for a Senior Platform Engineer to help scale the infrastructure behind its…
Added 2 days ago
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Senior Security Engineer
PheedLoop
Toronto, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 5 days ago
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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 5 days ago
T
Senior Software Engineer, Site Reliability Engineering
Thumbtack
Remote, Canada
- Full-time
- Remote
…focus on minimizing service disruptions, downtime, and latency. SRE impacts Thumbtack’s ecosystem across the entire stack, from linux systems to applications that drive the customer…
Added 5 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 5 days ago
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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 6 days ago
AI
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
Added 6 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 6 days ago
M
Senior Solutions Engineer, Enterprise Technology Services
Manulife
Toronto, ON
- Full-time
Manulife is seeking a Senior Solutions Engineer to help design, scale, and modernize secure cloud platforms that support critical business systems across a global financial services…
Added 6 days ago
Senior DevOps Engineer - PA145
ZoomInfo Technologies LLC
Toronto, ON
Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
Added 6 days ago
Z
Senior DevOps Engineer - PA145
ZoomInfo
Toronto, ON
- Full-time
Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
Added 6 days ago
CL
Senior AI Platform Security Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Senior AI Platform Security Engineer to join our team based out of our Brampton office and own the platform our AI agents run on. We're standardizing…
Added 7 days ago
Senior AI Platform Security Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Senior AI Platform Security Engineer to join our team based out of our Brampton office and own the platform our AI agents run on. We're standardizing…
Added 7 days ago
Ingénieur principal en plateforme (SRE), solutions d'IA/Senior Platform Engineer (SRE), AI Solutions
Syntax
Montreal, QC
Senior Platform Engineer (SRE), AI Solutions (m/f/d)
Added 7 days ago
RB
Senior Cloud Security Engineer ( Global Security)
Royal Bank of Canada
Toronto, ON · Vancouver, BC
- Full-time
…to further secure RBC’s AWS environment. In this role as a Senior Cloud Security Engineer, you will develop AWS security controls and drive the development of innovative cloud security…
Added 8 days ago
R
Site Reliability Engineer
Raydar
Remote, Canada
- Full-time
- Remote
…millions of calls each month for enterprise customers. A small, senior engineering team works remotely across North America to build and improve the systems behind these…
Added 8 days ago
FS
Senior DevOps Engineer - Digital Platforms
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
The Senior DevOps Engineer - Digital Platforms is a senior, hands-on technical role accountable for advancing the reliability, scalability, security, performance, and operational maturity…
Added 8 days ago
SS
Senior Platform Engineer (SRE), AI Solutions
System Soft Technologies
Quebec, QC
- Contract
This senior SRE-level role builds and runs that foundation - managed platforms, golden-path blueprints, and observability that let product pods ship fast and operate with confidence. You…
Added 8 days ago
Senior Software Engineer - Platforms & Infrastructure
Tubi - Canada
Toronto, ON
As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments,…

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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