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Added 29 days ago
AG
Senior Software Engineer, Performance / Ingénieur(e) Logiciel(le) Senior, Performance
Aduna Global
Montreal, QC
- Full-time
5+ years building and operating production backend services in Go, Java, Python, or Node. You will read, profile, and fix production code, not report on it.
Added 29 days ago
AG
Senior Software Developer / Développeur(se) Logiciel Sénior
Aduna Global
Montreal, QC
- Full-time
As a Senior Software Developer on the Traffic Plane team, you will be a key technical contributor for the systems connecting Aduna to CSP Service Exposure APIs, aggregating and exposing…
Added 1 month ago
C
Senior Java Developer, Applications Development – Assistant Vice President
Citi
Mississauga, ON
- Full-time
Citi is looking for a Senior Java Developer to join its Applications Development team, where you will design, build, and own high-performance Java applications that underpin critical…
Added 27 days ago
E
Senior Java Developer with AI Experience
ELITS
Montreal, QC
- Full-time
Significant experience in a hands on senior Java, backend, full stack, or technical lead development role, ideally building and evolving a live software product.
Added 1 month ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
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…
Added 1 month ago
R
Full Stack Developer, AI
RBC
Toronto, ON
- Full-time
Develop and maintain full-stack solutions across a diverse tech stack (Java, Python, Node.js, Angular, Spring Boot), contributing to both front-end and back-end features while continuously…
Added 1 month ago
V
Senior Software Developer - Workflows
Verily
Toronto, ON
- Full-time
Work closely with the development team to design, develop, and deliver new software features across the Verily tech stack.
Added 1 month ago
Senior Software Engineer
Clutch Technologies Inc.
Toronto, ON
Have experience building frontend, backend, or full-stack applications.
Added 1 month ago
I
Principal Software Developer
Intuit
Toronto, ON
- Full-time
Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
Added 1 month ago
I
Senior Staff Software Developer
Intuit
Toronto, ON
- Full-time
Full-stack development experience with AI technologies/tools and apply it to user experiences or backend solutions.
Added 29 days ago
RA
Software Engineering Intern - Applications, Infotainment & Mobile (January - August 2027)
Rivian and Volkswagen Group Technologies
Remote, Canada
- $30 to $33.75 CAD / hour
- Internship
- Remote
Software Engineering Intern - Full Stack Developer
Added 29 days ago
C
Full Stack Engineer - Senior Vice President
Citi
Mississauga, ON
- Full-time
Design and deliver loosely coupled, microservices-based solutions using Java, Spring Boot, and RESTful architecture - driving the migration of monolithic platforms to cloud-ready, scalable…
Added 1 month ago
II
Sr. Java Full Stack Engineer
ITC Infotech
Vancouver, BC
- Full-time
We are looking for a Senior Java Microservices Engineer (Digital Asset Management) to design, develop, and maintain scalable backend applications using Java, Spring Boot, and Kafka. The…
Added 1 month ago
CS
Senior Technical Architect, Application Development & Support
Canadian Standards Association
Toronto, ON
- Full-time
Acts as lead developer and technical design authority for applications in scope, setting coding standards, design patterns, branching strategy, and definition of done for internal and…
Added 1 month ago
Q
Firmware Engineer – SerDes PHY (all levels)
Qualcomm
Toronto, ON
- Full-time
The firmware team owns the full embedded software stack that controls the SerDes hardware, including low-level embedded firmware, customer-facing C SDKs, demo & automation scripts, and…
Added 1 month ago
WT
Senior Java Software Engineer
Wissen Technology
Montreal, QC
- Full-time
Experience with Java frameworks like Spring, Hibernate, Spring boot.
Added 1 month ago
Q
Software Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
Full stack development using JavaScript (React, Node, NextJS), Python, C, and C++, MongoDB and Postgres
Added 1 month ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
…Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API design, and artificial intelligence to drive innovation and deliver cutting-edge…
Added 1 month ago
R
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
- Full-time
…Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API design, and artificial intelligence to drive innovation and deliver cutting-edge…
Added 1 month ago
A
Short Term 2027 Graphics Software Engineering Intern/Co-Op
AMD
Markham, ON
- $44,500 to $71,000 USD / year
- Full-time
Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
Added 1 month ago
A
Summer 2027 Long Term Graphics Software Engineering Intern/Co-Op
AMD
Markham, ON
- $67,000 USD / year
- Full-time
Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
Added 1 month ago
B
Data Engineer - Sports & Prediction Markets
Betstamp
Toronto, ON
- Full-time
…and historical feed that drops into their existing trading…
Added 1 month ago
B
Market Data Engineer - Prediction Markets & Odds Infrastructure
Betstamp
Toronto, ON
- Full-time
…and historical feed that drops into their existing trading…
Added 1 month ago
B
Backend Engineer - Real-Time Sports Data (Go / ClickHouse / AI-Native)
Betstamp
Toronto, ON
- Full-time
…and historical feed that drops into their existing trading…
Added 1 month ago
V
Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
Work closely with the development team to design, develop, and deliver new software features across the Verily tech stack.

Network Solutions

Senior DevOps Engineer, AI Platform

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Sep 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 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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