ZipRecruiter
Backend Infrastructure Engineer
ZipRecruiter, San Francisco, California, United States, 94199
Job Description
Backend Infrastructure Engineer, San Francisco, CA
Are you ready to revolutionize radiology?
Join a trailblazing team at the forefront of disrupting traditional radiology workflows with AI-powered cloud solutions. Be part of a mission to replace outdated systems, automate workflows, and enable radiologists to achieve unprecedented efficiency and revenue growth.
What's in it for you?
Competitive Salary : Earn up to $210,000 annually.
Growth Opportunities : Work with cutting-edge AI-powered platforms disrupting the medical industry.
Dynamic Environment : Join a high-growth startup backed by tier-1 VCs.
Comprehensive Benefits : Enjoy a full suite of benefits for health, well-being, and professional development.
Equity Potential : Share in the company's success as it grows.
What you'll be doing:
Developing Scalable Systems : Build backend infrastructure components to handle high traffic efficiently.
Monitoring & Alerting : Set up robust alerting systems to ensure high system availability.
Infrastructure Management : Deploy and manage web services using Linux, Terraform, Kubernetes, Docker, and cloud platforms like AWS or Google Cloud.
Application Deployment : Use frameworks such as Flask or Django to launch applications at scale.
Database & CI/CD Management : Optimize Postgres databases and implement CI/CD best practices.
API Development : Design, document, and maintain RESTful APIs for seamless integrations.
Requirements:
3+ years of backend or infrastructure engineering experience.
Expertise in Linux, Terraform, CSPs (AWS/Google Cloud), Kubernetes, and Docker.
Proven success with monitoring, alerting, and CI/CD systems.
Proficiency in Python and frameworks like Flask or Django.
Hands-on experience with Postgres and large-scale infrastructure components.
Willingness to work in-office five days a week in San Francisco, with on-call rotation.
Does this sound like something you want to be part of?
Come join our team and let's shape the future of radiology with cutting-edge AI innovation!
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