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Systems Engineer (Azure Infrastructure)

Clio · Toronto, Canada

External listingfull-time24 days ago

About The Role

Join Clio, a company on a mission to transform the legal experience for all. As a Systems Engineer specializing in Azure Infrastructure, you will play a crucial role in building performant, reliable, and scalable infrastructure to support our SMB and enterprise customers. You will collaborate with engineering teams to solve architectural scaling challenges, partner with product feature teams to define requirements, and share knowledge across the department to improve our processes. Enjoy a range of benefits including specialized learning and development programs, equitable compensation, company equity, flexible paid time off, and various health benefits.

  • Construire des outils et automatiser les processus pour soutenir l'infrastructure de production de Clio.
  • Collaborer avec les équipes d'ingénierie pour résoudre les défis architecturaux liés à l'évolutivité.
  • Partenariat avec les équipes de fonctionnalités produit pour définir les exigences et mettre en œuvre l'infrastructure.
  • Growth mindset when it comes to process improvement and new technologies, especially AI
  • Experience deploying, securing, and scaling Kubernetes clusters servicing production workloads, strongly emphasizing automation and observability
  • An interest in improving your craft by using AI
  • Experience administering and optimizing cloud resources on standard cloud providers (preferably Azure) using Infrastructure as Code (IaC) tools
  • Experience building and supporting highly available, multi-region production infrastructure
  • Open-mindedness and low ego
  • You have strong opinions that are loosely held, and foster that same attitude in others
  • Proficiency in writing clean, maintainable, and collaborative code to create tools, services, and systems that support scalable infrastructure
  • C# or another Object Oriented language
  • AKS clusters in production
  • Azure resources with Terraform or Pulumi
  • Azure CLI or PowerShell
  • Building observability dashboards and monitoring with tools like DataDog
  • SQL Server, Azure SQL, or ElasticSearch
  • Windows and/or Linux hosts

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