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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 Be part of a mission to replace outdated systems, automate workflows, and enable radiologists to achieve unprecedented efficiency and revenue growth.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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