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
• Strong experience with at least one major cloud platform (AWS, Azure, GCP). Azure experience is a plus.
• 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 troubleshooting 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
If you are passionate about Cloud and DevOps, have experience with Azure infrastructure and tools, and are excited about bringing AI into Healthcare, we encourage you to apply for this exciting opportunity to join our team at Signal 1 AI.
Top Skills
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.
