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Senior DevOps Engineer - Digital Platforms

Four Seasons
Toronto, CAN
Full-time
Senior · 7+ years experience
CAD 90000-125000 / year
Discovered 4 weeks ago
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What You Bring:

  • University degree or college diploma in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent relevant experience will be considered.
  • 7+ years of progressive experience in DevOps, Site Reliability Engineering, cloud engineering, platform engineering, or production operations. Demonstrated experience operating enterprise-scale, customer-facing web and mobile platforms in cloud-first environments, including technical leadership across multiple teams and complex delivery ecosystems.
  • Azure, AWS, Kubernetes, Terraform, DevOps, SRE, security, or IT service management certifications are assets.
  • Expert knowledge of DevOps, SRE, platform engineering, cloud operations, production readiness, and software delivery practices.
  • Advanced hands-on experience with Azure and/or AWS infrastructure and managed cloud services.
  • Strong Infrastructure as Code experience with Terraform, CloudFormation, or similar tooling.
  • Advanced CI/CD experience with Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or comparable platforms.
  • Experience with container platforms, including Kubernetes and Docker, and associated configuration and secrets management.
  • Advanced observability skills spanning logs, metrics, traces, synthetics, real user monitoring, mobile telemetry, alerting, and dashboard engineering.
  • Experience with Elastic, Azure Monitor, CloudWatch, Open Telemetry, Prometheus, Grafana, or comparable tools.
  • Strong knowledge of global web and mobile architectures, CDNs, DNS, caching, APIs, microservices, CMS platforms, SaaS integrations, and identity flows.
  • Experience with performance engineering, load testing, capacity planning, resilience testing, disaster recovery, and cost optimization.
  • Scripting and automation skills using Python, PowerShell, Bash, TypeScript, or comparable languages.
  • Strong understanding of secure software delivery, vulnerability management, PCI DSS, privacy, WCAG/AODA accessibility, and change governance.
  • Working knowledge of AI-assisted engineering and operations, including safe use of coding assistants, anomaly detection, incident analysis, and automated remediation.
  • Effectively manages multiple initiatives and competing priorities, organizes complex work into achievable outcomes, flags risks and dependencies early, and consistently delivers high-quality results in fast-paced environment.

Who You Are:

  • Ownership and accountability: Takes responsibility for platform outcomes and follows complex issues through to durable resolution.
  • Communication: Explains complex technical issues, trade-offs, and risks clearly to technical and non-technical audiences.
  • Collaboration and influence: Builds trust across teams and aligns diverse stakeholders around practical engineering decisions.
  • Discernment: Balances reliability, speed, security, cost, compliance, and guest experience in ambiguous situations.
  • Continuous improvement: Uses evidence and feedback to improve engineering standards, operating practices, and team capability.
  • Global mindset: Designs and operates services for an international business with global users, partners, and time zones.
  • Demonstrates curiosity and continuous learning, adapting skills and ways of working as AI capabilities and organizational practices evolve.
  • Applies sound judgment, protects information and considers the impact of AI-enabled work on people and outcomes.
  • Demonstrates a commitment to continuous learning, proactively developing new technical and professional capabilities, remaining current with emerging technologies, industry trends, and applying new knowledge to improve business and operational outcomes.
  • Salary Range: $90,000 - $125,000 CAD
  • This role will be a Hybrid working model, which will require 3 days per week in the Four Seasons Corporate Office located at 20 York Mills Road, Toronto, Ontario #LI-Hybrid
  • University degree or college diploma in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent relevant experience will be considered.
  • 7+ years of progressive experience in DevOps, Site Reliability Engineering, cloud engineering, platform engineering, or production operations. Demonstrated experience operating enterprise-scale, customer-facing web and mobile platforms in cloud-first environments, including technical leadership across multiple teams and complex delivery ecosystems.
  • Azure, AWS, Kubernetes, Terraform, DevOps, SRE, security, or IT service management certifications are assets.
  • Expert knowledge of DevOps, SRE, platform engineering, cloud operations, production readiness, and software delivery practices.
  • Advanced hands-on experience with Azure and/or AWS infrastructure and managed cloud services.
  • Strong Infrastructure as Code experience with Terraform, CloudFormation, or similar tooling.
  • Advanced CI/CD experience with Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or comparable platforms.
  • Experience with container platforms, including Kubernetes and Docker, and associated configuration and secrets management.
  • Advanced observability skills spanning logs, metrics, traces, synthetics, real user monitoring, mobile telemetry, alerting, and dashboard engineering.
  • Experience with Elastic, Azure Monitor, CloudWatch, Open Telemetry, Prometheus, Grafana, or comparable tools.
  • Strong knowledge of global web and mobile architectures, CDNs, DNS, caching, APIs, microservices, CMS platforms, SaaS integrations, and identity flows.
  • Experience with performance engineering, load testing, capacity planning, resilience testing, disaster recovery, and cost optimization.
  • Scripting and automation skills using Python, PowerShell, Bash, TypeScript, or comparable languages.
  • Strong understanding of secure software delivery, vulnerability management, PCI DSS, privacy, WCAG/AODA accessibility, and change governance.
  • Working knowledge of AI-assisted engineering and operations, including safe use of coding assistants, anomaly detection, incident analysis, and automated remediation.
  • Effectively manages multiple initiatives and competing priorities, organizes complex work into achievable outcomes, flags risks and dependencies early, and consistently delivers high-quality results in fast-paced environment.

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