Senior Cloud Infrastructure Engineer

Posted 29 Days Ago
Be an Early Applicant
Toronto, ON, CAN
Hybrid
Senior level
Artificial Intelligence • Healthtech
The Role
Designs, builds, and operates Azure cloud infrastructure using infrastructure as code. Develops CI/CD pipelines, shapes end-to-end system architecture, troubleshoots production issues, builds internal automation tools, and maintains platform security, compliance, monitoring, backups, and reliability. The role also owns infrastructure projects through production and collaborates closely with software engineers.
Summary Generated by Built In

Signal 1 is building the AI management and orchestration layer for the next era of healthcare AI. Health systems are rapidly moving from predictive models and generative AI to autonomous agents that can take action across clinical, operational and administrative workflows. This shift creates an entirely new set of challenges around how AI is governed, monitored, managed, and orchestrated to deliver real enterprise value. 
 
Signal 1 is the partner of choice for the most ambitious and AI-forward health systems. Our AI Management System (AIMS) enables them to manage their entire AI portfolio today while providing the infrastructure they need to confidently adopt agentic AI and whatever comes next. Our customers include leading health systems such as NewYork Presbyterian, Inova, and Mount Sinai. 
 
We’re a small, ambitious team tackling problems that don’t yet have an established playbook. Joining Signal 1 means helping shape not only our products, but how health systems manage and put the next era of AI to work. 


We are looking for a Senior Cloud Infrastructure Engineer to join our small, hands-on Infrastructure Team. You will: 

  • Design, build, and run the Azure infrastructure behind Signal 1's products using infrastructure as code. 
  • Build deployment pipelines that take code from commit to production across multiple environments. 
  • Help shape the architecture of the whole system, from the application to the infrastructure and everything in between. 
  • Troubleshoot live issues together with our software engineers. 
  • Build full-stack internal tools that automate the Infrastructure Team's everyday work. 
  • Keep the platform secure, compliant, and reliable, including monitoring, backups, and recovery. 
  • Own components and projects from idea to production, and bring new ideas that make the whole team faster. 

Required Qualifications: 

  • 5+ years of experience in cloud infrastructure, DevOps, or platform engineering. 
  • Strong hands-on experience with at least one major cloud platform (Azure, AWS, or GCP). 
  • Production experience with Kubernetes, Helm, Terraform, and continuous integration and delivery tools such as GitHub Actions. 
  • Strong networking knowledge, including designing and building secure cloud networks. 
  • Python and Bash scripting skills, and the ability to read and understand application code. 
  • A clear understanding of how every part of a modern software system works together, end to end. 
  • Strong communication skills, with the ability to pick up context fast, bring useful ideas to technical discussions, and explain complex topics in plain words. 

Preferred Qualifications: 

  • Experience with Azure, Terragrunt, Istio, and Datadog. 
  • Experience designing multi-tenant SaaS environments where each customer's data is isolated. 
  • Experience building full-stack internal tools, such as deployment or operations tools. 
  • Familiarity with HIPAA and SOC 2, and experience handling protected health information (PHI). 
  • Experience deploying software into customer-managed or private network environments. 
  • Experience in small startup teams that build and ship fast. 

Our office is based in Yorkville, Toronto and we come together 2 days a week to collaborate, innovate, and have fun. This role requires you to be in-person 2 days a week. 

What We’ll Bring: 

  • Competitive compensation package in a high-growth company 
  • Comprehensive health benefits 
  • 4 weeks PTO 

To Apply for This Role: 

Please send an email to [email protected] with: 

  1. “Re: Signal 1 Senior Cloud Infrastructure Engineer Position” as the subject line 
  2. Your resume 
  3. A walkthrough of an infrastructure project you designed and ran in production, or a hard production problem you solved. Include context on why you chose this example, the key decisions and trade-offs you made, and how you knew it worked. Tell us what you would do differently today. Diagrams, code, or a short write-up all work. (Format of this walkthrough is up to you.) Please leave out anything confidential from past employers. 

Skills Required

  • Bachelor's degree in Computer Science or equivalent practical experience
  • 5+ years of experience in cloud infrastructure, DevOps, or platform engineering
  • Hands-on experience with at least one major cloud platform: Azure, AWS, or GCP
  • Production experience with Kubernetes, Helm, Terraform, and continuous integration and delivery tools such as GitHub Actions
  • Strong networking knowledge, including designing and building secure cloud networks
  • Strong Python and Bash scripting skills
  • Ability to read and understand application code
  • Understanding of how modern software systems work together end to end
  • Strong communication skills and ability to explain complex topics clearly
  • Experience with Azure, Terragrunt, Istio, and Datadog
  • Experience designing multi-tenant SaaS environments with customer data isolation
  • Experience building full-stack internal deployment or operations tools
  • Familiarity with HIPAA and SOC 2 and experience handling protected health information
  • Experience deploying software into customer-managed or private network environments
  • Experience working on small startup teams that build and ship quickly
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The Company
HQ: Toronto, Ontario
28 Employees
Year Founded: 2022

What We Do

Launched in April 2022, Signal 1 is a health AI start-up with the mission to transform patient care through responsibly deployed AI. Signal 1 provides hospitals with an end-to-end solution for integrating AI-driven insights into existing hospital workflows. Its first application is a clinically validated real-time automated patient risk predictor that helps hospitals improve quality and flow while reducing stress on front-line care providers.

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