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Added 6 days ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 6 days ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Toronto, ON
- Full-time
…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 Security posture. You will also…
Added 6 days ago
LI
Senior Data Engineer
Livingston International
Toronto, ON · Etobicoke, ON
- Full-time
…and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, transportation analytics,…
Added 6 days ago
Software Development Engineer
CCLIM - Quantitative Equity
Vancouver, BC
Passion for Technology – we work with several programming languages (Kdb+/Q, Python, R, Java, C#, Spark) and upfront knowledge is not required. If you are passionate about technology,…
Added 6 days ago
A
Software Engineer, AI & Engineering Productivity Tools
AMD
Markham, ON
- $128,000 to $192,000 USD / year
- Full-time
AMD is seeking a Software Engineer, AI & Engineering Productivity Tools to build platforms, automation, and AI-powered tools that improve engineering productivity across ASIC design and…
Added 6 days ago
A
Sr. Software Development Engineer, AI Models
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
Join our innovative team at AMD as an AI Models Software Engineer. We are seeking passionate individuals who are dedicated to optimizing, accelerating, and applying AI models. As a member…
Added 6 days ago
A
Profiling Infrastructure Development Engineer
AMD
Markham, ON
- $132,000 to $198,000 USD / year
- Full-time
…The successful candidate must be an experienced modern C++ developer able to utilize agentic tools to increase productivity in developing and understanding complex code within a fast paced…
Added 6 days ago
AS
Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon Science
Vancouver, BC
- Full-time
…to inform an architecture decision. Later, you pair with an engineer to add a new capability to an agent's tool registry, then validate it doesn't degrade downstream quality. You end the…
Added 6 days ago
CS
Senior Research Engineer - Inference ML
Cerebras Systems
Canada
- Full-time
As a Senior Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras…
Added 6 days ago
M
Winter Co-op 2027 – Automation Engineer (12 months)
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As an Automation Engineer Co-op, you'll help identify opportunities to simplify, streamline, and automate business and operational processes across the organization. Working closely with…
Added 6 days ago
LA
Team Lead Software Engineer
Longboard Architectural Products
Abbotsford, BC
- $90,000 to $115,000 CAD / year
- Full-time
Longboard is seeking an experienced Team Lead Software Engineer with strong Python expertise to lead a small team of developers supporting our manufacturing and business operations.…
Added 6 days ago
Infrastructure Software Engineer
CCLIM - Quantitative Equity
Vancouver, BC
Engineer and support software and systems infrastructure.
Added 6 days ago
MT
Technical Staff Engineer-Applications
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
- Full-time
Microchip Technology Inc. is seeking a Principle Engineer – Applications to join our rapidly expanding DCS organization in Burnaby, Canada. Our products are widely deployed by top AI server…
Added 6 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 6 days ago
SI
Ultrasound Transducer R&D Engineer
Sonele Inc.
Markham, ON
- $70,000 to $90,000 CAD / year
- Full-time
The Ultrasound Transducer Developer designs, simulates, prototypes, and characterizes transducers (single-element, linear arrays, and 2D arrays). The role spans acoustic stack design, FEM…
Added 6 days ago
C
Backend Engineer
Creator.co
Vancouver, BC
- Full-time
We are looking for a Mid-Level Backend Engineer who has "architectural empathy" - someone who writes clean Node.js code but keeps a sharp eye on how that code impacts database load, data…
Added 6 days ago
TC
Junior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
Write clean, typed and maintainable Python code, and contribute to ReactJS components where required.
Added 6 days ago
Technology Operations Analyst - Cybersecurity - Dieppe, New Brunswick
EY
Edmonton, AB · AB · Vancouver, BC · Victoria, BC · Winnipeg, MB · Dieppe, NB · Saint John, NB · St. John's, NL · Halifax, NS · London, ON · Ottawa, ON · Toronto, ON · ON · Saskatoon, SK · Waterloo, ON · Calgary, AB
Advanced programming or scripting language certifications (e.g., Python, or PowerShell).
Added 6 days ago
CT
Principal Systems Engineer - Optical Transceivers
ConsultNet Technology Services and Solutions
Ottawa, ON
- Other
Python or similar engineering analysis/automation tools
Added 6 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 6 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 6 days ago
C
Data Engineer
Citylitics
Remote, Canada
- Full-time
- Remote
We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone…
Added 6 days ago
FI
Software Engineer - New Grad (2026-2027)
Fellow Insights Inc.
Remote, Canada
- Full-time
- Remote
…while raising the quality bar. You'll be paired with a senior engineer mentor who's invested in helping you grow…
Added 6 days ago
CI
Data Engineer
Citylitics Inc.
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone…
Added 6 days ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Skills: Python, MLOps, LLMOps, Azure Databricks, NIST AI RMF, MLFlow, RAG, AI governance, GitHub Actions, Terraform, Jenkins

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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