Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)

Quantum Technology Recruiting Inc. (QTR); Toronto; Híbrido; CAD 96.000 - 124.000; Jornada completa

Descripción de la vacante

Quantum Technology Recruiting Inc. (QTR) is seeking a Senior Linux Systems Engineer to own automation and performance monitoring initiatives in a hybrid Toronto environment.

The role focuses on building automated infrastructure monitoring, scripting, and patching workflows for Linux systems, with a 6-month contract and ASAP start.

You will collaborate with development, QA, and infra teams to optimize performance and reliability through repeatable processes.

Formación

• 7+ years hands-on Linux Systems/Infrastructure experience.
• Strong Red Hat Enterprise Linux administration and performance optimization.
• Advanced Bash/Shell scripting and Ansible proficiency.
• Experience building automation and monitoring solutions using APIs.
• Experience with monitoring/observability platforms (New Relic, Dynatrace).

Responsabilidades

• Design automated infrastructure monitoring and reporting workflows.
• Develop Linux scripts to collect CPU, memory, network metrics.
• Automate data collection and analysis during testing cycles.
• Integrate monitoring data from observability platforms via APIs.
• Produce automated reports on performance bottlenecks and changes.
• Collaborate with development, QA, and infra teams to troubleshoot performance issues.
• Transform manual monitoring processes into automated workflows.

Conocimientos

Bash scripting

Ansible

RHEL administration

Linux performance tuning

Observability tooling

API integration

Troubleshooting

Documentation

Herramientas

New Relic

Dynatrace

Red Hat Satellite

Descripción del empleo

Position: Senior Linux Systems Engineer - Automation & Performance Monitoring (6-Month Contract)

Location: Toronto, ON (Hybrid - approximately 1 day onsite per week)

Salary: $70-$90 per hour

Job Type: 6-month contract

Posting Type: Open vacancy

Start Date: ASAP

Key Responsibilities

Infrastructure Monitoring & Performance Automation (Primary Focus)

• - Design and implement automated infrastructure monitoring and reporting workflows to support application load and performance testing.
• - Develop Linux scripts to capture system metrics, including CPU, memory, network utilization, network errors, and infrastructure configuration.
• - Automate the collection and analysis of infrastructure performance data during testing cycles.
• - Integrate monitoring data from observability platforms such as New Relic, Dynatrace, or similar tools using APIs and scripting.
• - Develop automated reports identifying performance bottlenecks, infrastructure changes, and potential issues.
• - Collaborate with application development, QA, and infrastructure teams to investigate and troubleshoot performance issues.
• - Help transform existing manual monitoring and validation processes into repeatable, automated workflows.

Linux Infrastructure & Patching Automation

• - Develop, maintain, and enhance Linux infrastructure automation using Ansible and Shell/Bash scripting.
• - Support automated RHEL patching processes using Red Hat Satellite and Ansible Automation Platform.
• - Improve patching efficiency, scheduling, and execution across development, testing, and production environments.
• - Manage patch sequencing, dependencies, Content Views, and lifecycle promotion to ensure consistent and controlled deployments.
• - Integrate automated post-patching validation and sanity checks into existing workflows.
• - Provide Linux systems administration and infrastructure troubleshooting support as required.

Required Qualifications

• - 7+ years of hands-on experience in Linux Systems Engineering, Infrastructure Engineering, or a similar technical role.
• - Strong expertise in Red Hat Enterprise Linux (RHEL) administration, troubleshooting, and performance optimization.
• - Advanced scripting and automation skills using Bash/Shell and Ansible.
• - Demonstrated experience designing and implementing infrastructure automation solutions from the ground up.
• - Experience with Linux performance monitoring, system metrics collection, and troubleshooting across CPU, memory, networking, and application infrastructure.
• - Hands-on experience with monitoring and observability platforms such as New Relic, Dynatrace, or equivalent.
• - Experience integrating monitoring tools, collecting metrics through APIs, and automating reporting workflows.
• - Strong understanding of Linux networking and diagnostic utilities.
• - Ability to independently troubleshoot complex infrastructure issues and collaborate with cross-functional technical teams.
• - Strong communication, documentation, and problem-solving skills.

Nice-to-Have Qualifications

• - Experience with Red Hat Satellite, including Content Views, lifecycle environments, and automated patch management.
• - Experience developing automated infrastructure monitoring workflows during application load or performance testing.
• - Experience with Jenkins and automated validation pipelines.
• - Familiarity with Java application environments and application performance troubleshooting.
• - Experience with GitHub Copilot or other AI-assisted scripting and development tools.
• - Experience in financial services or other high-availability enterprise environments.

What We're Looking For

The ideal candidate is a proactive, technically strong engineer who can take ownership of automation initiatives and deliver practical solutions with minimal supervision.

You should be comfortable working directly with Linux infrastructure, writing and troubleshooting scripts, integrating monitoring tools, and identifying opportunities to eliminate manual processes.

This is not a cloud-focused DevOps or application deployment role. We are specifically looking for deep Linux systems expertise combined with strong infrastructure automation and performance monitoring experience.

If you enjoy solving infrastructure challenges through automation and want to make a tangible impact within a collaborative technical team, we'd love to hear from you.

All applications are reviewed by our recruitment team, and hiring decisions are made by people. We may also use AI-enabled tools to support parts of the application review process.