
51 - 200 employees
Founded 2018
🏥 Healthcare
🏭 Manufacturing
🔧 Hardware
💰 $25M Series A on 2021-11
Healthcare • Manufacturing • Hardware
Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.
🕒 March 27
🇺🇸 United States – Remote
💵 $160k - $215k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 48%
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51 - 200 employees
Founded 2018
🏥 Healthcare
🏭 Manufacturing
🔧 Hardware
💰 $25M Series A on 2021-11
Healthcare • Manufacturing • Hardware
Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.
• Architect and evolve cloud infrastructure, primarily on AWS, across Kubernetes, Elastic Container Service, Lambda, EC2, and data stores • Collaborate with engineering leadership, machine learning, data science, and product partners to shape the platform vision • Develop and maintain tooling that improves engineering productivity and developer experience • Promote sustainable incident response and lead blameless post-incident reviews • Manage network and systems monitoring • Design alert strategies • Participate in an equitable on-call rotation
• 6+ years of hands-on infrastructure / platform development experience, or equivalent practical experience, in modern, cloud-native environments • Track record of owning critical systems in production • Extensive experience operating Kubernetes in production, including cluster lifecycle management, scaling, and container security • Proficiency in Python and/or Bash • Familiarity with Infrastructure as Code tools such as CDK, Terraform or Pulumi • Strong familiarity with AWS and/or GCP services • Networking fundamentals • Comfort working in command-line Linux environments • Experience designing complex systems and mentoring others in technical design • Ability to scope project-level work, execute independently, and bring projects to completion • Data-informed approach and effective problem solving • Clear, respectful communication and collaboration skills • Nice to have: deep Linux troubleshooting, including debugging kernel and driver issues • Nice to have: experience in regulated environments such as HIPAA or at early-stage startups • Nice to have: background in healthcare, security, or machine learning • Nice to have: familiarity with HL7 or radiology workflows • Nice to have: experience with OpenTelemetry or similar tracing services • Nice to have: familiarity with Grafana or similar logging services • Nice to have: experience with Spark and Hadoop-related technologies • Must be authorized to work lawfully in the US
• Offers equity • Comprehensive Medical, Dental, Vision & Life insurance • HSA (with employer match), FSA, & DCFSA • 401(k) • 11 Paid Company Holidays • Flexible PTO policy • Annual company-wide offsite • Periodic team offsites • Annual equipment stipend
Apply Now🕒 March 27
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