Senior System Administrator

Harris ComputerOttawa, ON
CA$75,000 - CA$85,000

About The Position

We are seeking a highly skilled Senior System Administrator to join our team. This role will focus on architecting, deploying, and managing cloud infrastructure on Azure, AWS, and other public clouds, ensuring high availability, performance, and security. You will lead the migration of on-premise customer environments to hosted cloud platforms, implement robust security measures, and optimize resource utilization. The position also involves developing automation scripts and Infrastructure-as-Code, serving as a primary technical support liaison for clients, and playing a key role in our AI strategy and adoption. You will also be involved in incident response and general systems administration tasks.

Requirements

  • 5+ years of experience in a System/Cloud Administrator role.
  • Demonstrated proficiency with Azure and AWS cloud platforms, including environment architecture and deployment.
  • Experience with database platforms: Microsoft SQL Server, MySQL, PostgreSQL, and/or Oracle.
  • Strong knowledge of networking concepts and technologies.
  • Working proficiency across Linux and Windows server operating systems.
  • Experience with Infrastructure-as-Code tools (Terraform, Ansible, or Puppet).
  • Demonstrated proficiency with AI prompting and working knowledge of LLMs, including when to use them and when not to, with specific attention to privacy and IP considerations.
  • Ability to manage competing priorities, triage by urgency, and drive issues to resolution independently.

Nice To Haves

  • Proven hands-on experience architecting multi-tenant or multi-customer cloud environments.
  • Strong scripting skills in Python, Bash, and/or PowerShell.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with CI/CD pipeline design and DevOps practices.
  • Cloud certifications (Azure, AWS) from tier-one providers.
  • Experience in a customer-facing technical support role with SLA accountability.
  • Prior experience applying AI tools to infrastructure automation or knowledge management workflows.

Responsibilities

  • Architect, deploy, configure, and support cloud infrastructure on Azure, AWS, and other public clouds for high availability, performance, and security.
  • Lead migration of on-premise customer environments to hosted cloud platforms, targeting completion milestones aligned with signed customer commitments and pipeline forecasts.
  • Implement and maintain security measures including identity management, network segmentation, and compliance controls across cloud environments.
  • Configure secure integrations with external services (OAuth, Microsoft 365, GSuite, third-party applications).
  • Optimize cloud resource utilization and cost efficiency, with measurable cost-per-environment targets.
  • Develop and maintain Infrastructure-as-Code using Terraform, Ansible, and/or Puppet to enable scalable, repeatable environment provisioning.
  • Build toward a fully automated CI/CD pipeline for deployment and monitoring, reducing manual provisioning time by a measurable target (to be established within first 90 days).
  • Create automation scripts (Python, Bash, PowerShell) to eliminate repetitive infrastructure tasks.
  • Serve as primary technical support liaison for hosted and on-premise client environments, delivering resolution within defined SLAs.
  • Diagnose and resolve complex customer infrastructure issues across server operating systems (Linux, Windows) and database platforms (SQL Server, MySQL, PostgreSQL, Oracle).
  • Document all customer requests, diagnostic steps, and resolutions thoroughly and consistently.
  • Communicate progress and status to internal and external stakeholders with frequency and clarity.
  • Leverage AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate IaC development, scripting, and troubleshooting workflows.
  • Build and maintain AI-enabled knowledge bases from existing company knowledge resources, supporting the BU's AI-DLC Level 2/3 roadmap toward customer-facing agents and adjacent software modules.
  • Ensure responsible use of AI tools in all internal and customer-facing contexts, specifically regarding data privacy, PII protection, and intellectual property.
  • Identify and document at least 2 AI-driven workflow improvements within the first 90 days, with estimated hours saved.
  • Provide priority assistance in containment and remediation during cybersecurity incidents.
  • Perform general systems administration including installation, configuration, maintenance, system audits, backups, and patch management.
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