AI Engineer (Toronto)

AI Engineer (Toronto)

21 Oct
|
FacilityOS
|
Toronto

21 Oct

FacilityOS

Toronto

About FacilityOS

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. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office twice a week to connect, collaborate, and build momentum.

If you’re looking to do your best work alongside a great team in a high-growth environment, FacilityOS is the place to build your career.

About the Role

The Cloud Engineer reports to the Director of Cloud Engineering and joins the CloudOps team responsible for the infrastructure behind FacilityOS’s SaaS platform. This is a generalist role spanning the full stack of cloud operations: infrastructure-as-code, CI/CD, observability, platform reliability, and FinOps across a large serverless Azure environment. 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.

Key Responsibilities

Infrastructure as Code & Deployment

- Provision, configure, and maintain secure, reliable cloud infrastructure using Terraform across multiple environments in segregated data residency/processing regions
- Contribute reusable, versioned, and well-documented components to our internal IaC module registry, improving consistency and accelerating delivery across teams




- 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

Security & Compliance

- 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
- Support our identity and access program by using and enforcing managed identities, workload identity federation and minimize secrets.

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
- Build automations and self‑healing capabilities that eliminate repetitive operational work, reduce human error, accelerate recovery, and prevent recurring incidents
- Maintain and expand observability coverage across all services using Datadog dashboards, monitors, SLOs, logs, traces, and other actionable telemetry
- 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

FinOps

- Monitor cloud infrastructure costs, investigate anomalies, and provide visibility into spend, usage, and cost drivers
- Identify and implement opportunities to reduce waste, right‑size resources, improve utilization, and keep infrastructure spending within budget without compromising reliability or security
- Partner with engineering teams to encourage cost‑aware architecture and establish practical ownership of cloud spend

Developer Enablement & Collaboration

- Partner with software development teams to guide cloud onboarding, infrastructure implementation, deployment patterns, and architecture decisions
- Provide practical guidance on

📌 AI Engineer (Toronto)
🏢 FacilityOS
📍 Toronto

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