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KG
AI -Senior Mobile Engineering Specialist
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
Lead the technical onboarding of AI applications (such as ChatGPT, Grok, Claude, Hebbia and AIMS) onto the firm's managed mobile platform, assessing enterprise control gaps and designing…
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- $100,000 to $120,000 CAD / year
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Toronto, ON · Greater Toronto Area, Canada
- $95,000 to $103,000 CAD / year
- Full-time
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- $100,000 to $120,000 CAD / year
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Senior Infrastructure Engineer
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Advanced Micro Devices, Inc

Senior Infrastructure Engineer

1 Commerce Valley Drive, Markham, ON, L3T 7X6, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 2, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

The Role

We are looking for a Senior Infrastructure Engineer to own the platforms used to build and validate AMD software at scale. These platforms include large on-premises and cloud compute fleets, container platforms, CI/CD services, storage systems, and artifact services used by engineering teams around the world.

This is an ownership role, not a ticket queue. You will set the standard for how infrastructure is built, changed, and accessed. You will be trusted to decline requests that could compromise stability, security, or supportability.

The Person

You are an experienced infrastructure engineer who takes ownership of complex, business-critical platforms. You exercise sound technical judgment, anticipate operational risk, maintain strong change and access controls, and help other engineers develop their skills.

Key Responsibilities

Own the reliability and lifecycle of mixed Linux and Windows server fleets across on-premises data centres and public-cloud environments.
Operate container platforms and orchestration technologies, such as Kubernetes or equivalent, across managed-cloud and self-hosted deployments, including upgrades, networking, and capacity management.
Drive configuration management and automated provisioning at fleet scale, keeping systems reproducible rather than hand-tuned.
Act as the gatekeeper for infrastructure changes by reviewing and approving change requests, enforcing maintenance windows, and coordinating with IT, network, and security partners.
Own access governance, including service accounts, secrets management and rotation, least-privilege access, and periodic access reviews.
Identify and retire operational risks before they become outages, including certificate and platform lifecycle issues, capacity constraints, single points of failure, and undocumented systems.
Build observability capabilities, including metrics, logging, alerting, and dashboards, that surface problems before users notice them.
Lead incident response, conduct blameless post-incident reviews, and turn recurring fixes into automation or runbooks.
Mentor engineers and administrators and promote knowledge sharing across the team.

Preferred Experience

Experience running production infrastructure in large engineering environments. Experience with build, test, or CI/CD platforms is a strong asset.
Strong experience with container orchestration technologies such as Kubernetes, OpenShift, or similar platforms, as well as container image pipelines.
Fleet-scale configuration management experience using tools such as Ansible, Salt, Puppet, or Chef, and infrastructure-as-code tools such as Terraform.
Experience with virtualisation and cloud platforms such as VMware, Hyper-V, Azure, AWS, or GCP.
Experience supporting CI/CD systems such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
Scripting and automation experience using Python, PowerShell, Bash, or Go.
Solid knowledge of identity and directory services, PKI, DNS, load balancing, and enterprise networking.
Experience with observability tools such as Prometheus, Grafana, the ELK/OpenSearch stack, Splunk, or Datadog.
A demonstrated track record of enforcing change-management and access-control discipline in a fast-moving organisation.
Experience using AI assistants to accelerate automation, troubleshooting, and documentation, with the judgment required to verify generated output.

Academic Credentials

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or an equivalent field.

Location

Markham, Ontario, Canada. Full-time position.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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More about this job

Responsibilities

The Senior Infrastructure Engineer will own the reliability and lifecycle of mixed Linux and Windows server fleets across on-premises and cloud environments. They are responsible for operating container platforms, driving configuration management, and ensuring robust observability and incident response.

Requirements

Candidates must have extensive experience running production infrastructure in large engineering environments with strong proficiency in container orchestration and configuration management. A Bachelor’s or Master’s degree in a relevant engineering or computer science field is required.

Skills

Linux
Windows Server
Kubernetes
Ansible
Terraform
Python
PowerShell
Bash
Go
CI/CD
Prometheus
Grafana
OpenSearch
Networking
Cloud Computing
Virtualization

Visa sponsorship

Not detected in the job text

Keywords

Infrastructure Engineering
Linux
Windows Server
Kubernetes
OpenShift
Ansible
Salt
Puppet
Chef
Terraform
Python
PowerShell
Bash
Go
CI/CD
Jenkins
GitHub Actions
GitLab CI
Azure DevOps
VMware
Hyper-V
Azure
AWS
GCP
Prometheus
Grafana
ELK Stack
OpenSearch
Splunk
Datadog

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