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Senior Cloud Infrastructure Engineer

Signal 1

Signal 1

Other Engineering
Toronto, ON, Canada
Posted on Jun 19, 2025

Start date: July 2, 2025

Location: Hybrid

Reporting Manager: Oleks Trapeznikov, Senior Manager, Cloud Infrastructure


Company Overview

Signal 1 helps health systems unlock the value of their AI investments while managing risk. With rigorous AI governance, continuous measurement, and efficient deployment, Signal 1’s AI Management Systems gives health system leaders visibility and control across their growing AI portfolios. Purpose-built for healthcare and informed by years of experience managing AI at scale in other industries, Signal 1 empowers healthcare organizations to translate innovation into real clinical, operational, and financial outcomes.

Role Overview

We're looking for a Senior Cloud Infrastructure Engineer to build and maintain our platform on Azure. You'll play an essential role in making sure our healthcare AI solutions work reliably and securely.

What You'll Do

  • Design and implement stable Azure-based infrastructure for our services
  • Create automation tools for deployment and system monitoring
  • Work with development and data science teams to improve delivery processes
  • Apply security standards and compliance requirements
  • Resolve complex technical issues to maintain reliable system operation
  • Establish effective backup and recovery procedures
  • Research and integrate useful technologies to improve our platform
  • Communicate with healthcare clients to support their technical needs
  • Share on-call responsibilities for system support

What You'll Need

  • 5+ years of relevant Cloud or DevOps experience
  • Solid understanding of Azure services (AKS, Azure AD, PostgreSQL, Monitor, Storage)
  • Experience with Kubernetes, Istio service mesh and Helm
  • Ability to write effective Python and Bash scripts
  • Knowledge of infrastructure-as-code using Terraform and Terragrunt
  • Experience implementing continuous integration with GitHub Actions
  • Ability to troubleshoot and resolve complex issues
  • Familiarity with monitoring tools like Azure Monitor and Datadog
  • Bachelor's degree in Computer Science or comparable experience

Bonus Qualifications

  • Familiarity with compliance frameworks (HIPAA, SOC2)
  • Background supporting machine learning applications in production
  • Previous work in healthcare technology