AI Engineer (Remote) (Toronto)

AI Engineer (Remote) (Toronto)

03 Oct
|
FacilityOS
|
Toronto

03 Oct

FacilityOS

Toronto

FacilityOS is a rapid-growing company redefining how facilities operate—bringing safety, security, and daily operations into one unified platform used by organizations around the world. As we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. Our team comes together in-office twice a week to connect, collaborate, and build momentum.

The Cloud

Engineer reports to the Director of Cloud Engineering and joins the CloudOps team responsible for the infrastructure behind FacilityOS’s SaaS platform. You’ll move between provisioning infrastructure, tuning monitoring, respond to alerts to ensure high availability, improving deployment pipelines, and helping harden the team’s compliance posture. Infrastructure as Code & Deployment Provision, configure, and maintain secure, reliable cloud infrastructure using Terraform across multiple environments in segregated data residency/processing regions Help move manually configured “ClickOps” resources under IaC management by inventorying existing infrastructure, codifying configurations, validating state, and planning low-risk migrations Contribute to CI/CD workflows in Azure DevOps to make infrastructure and application deployments secure, repeatable, observable, and efficient Continuously assess and improve our infrastructure security posture, identifying threats, vulnerabilities, misconfigurations, identity and access risks, and policy violations before they reach production Embed security controls and policy checks into IaC and CI/CD workflows,



remediate findings and reduce recurring risk Ensure infrastructure remains compliant with SOC 2, ISO 27001, HIPAA, and other applicable security and regulatory requirements Site Reliability, Production Support & Incident Response Provide hands‑on production support for cloud infrastructure and services, troubleshooting complex issues across application, platform, network, identity, and data layers Respond to alerts and participate in the incident response process to quickly mitigate customer impact, restore service, and maintain uptime SLAs Contribute to issues beyond short‑term recovery by investigating contributing factors, identifying root causes, and implementing durable corrective and preventative actions Regularly review alert quality and service coverage to close monitoring gaps, reduce noise, and ensure alerts are tied to meaningful customer and system impact Contribute to post‑incident reviews and follow‑up, turning lessons learned into measurable improvements to infrastructure, monitoring, runbooks, architecture, and operational processes Partner with software development teams to guide cloud onboarding, infrastructure implementation, deployment patterns,



and architecture decisions Document infrastructure changes, architectural decisions, runbooks, standards, and operational procedures so teams can work safely and independently 2+ years of experience in a Cloud engineering, DevOps, or SRE role ~ Deep practical experience and complete fluency with Azure, particularly App Services, Container Apps, Front Door, SQL databases, Cosmos, Service Bus, Key vaults ~ Experience with a CI/CD platform ( Azure DevOps preferred) ~ Experience with observability/monitoring tools ( Datadog preferred) ~ Experience implementing cloud governance controls from the SOC2 and ISO 27001 frameworks ~ Comprehensive health coverage We are an equal opportunity employer that value diversity at our company and encourage all candidates to apply.

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. FacilityOS will accommodate individuals with disabilities through each stage of the recruitment and selection process. Any offer of employment may be conditional upon full background checks including a criminal record check, a credit check and employment and educational verifications.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications. These tools assist the recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us or click here.

📌 AI Engineer (Remote) (Toronto)
🏢 FacilityOS
📍 Toronto

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