
51 - 200 employees
Founded 2018
🔧 Hardware
💰 $25M Series A on 2021-11
Manufacturing • Hardware • Engineering
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 - $195k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2018
🔧 Hardware
💰 $25M Series A on 2021-11
Manufacturing • Hardware • Engineering
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 our cloud infrastructure (primarily on AWS) across container orchestration (Kubernetes, Elastic Container Service), serverless (e.g., Lambda), virtual machines (e.g., EC2), and data stores to support current and future products. • Collaborate with engineering leadership, machine learning, data science, and product partners to help shape our 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, and participate in an equitable on‑call rotation.
• A data‑informed approach and a track record of effective problem solving. • Bring 6+ years of hands-on infrastructure / platform development experience (or equivalent practical experience) in modern, cloud-native environments, with a track record of owning critical systems in production. • Extensive experience operating Kubernetes in production, including familiarity with cluster lifecycle management, scaling, and container security. • Proficiency in one or more languages—Python (preferred) and/or Bash—and familiarity with Infrastructure as Code (IaC) tools such as CDK, Terraform or Pulumi. • Strong familiarity with AWS and/or GCP services. • Networking fundamentals and comfort working in command‑line Linux environments. • Clear, respectful communication and collaboration skills, including organizing work, delegating when appropriate, and giving/receiving feedback. • Experience designing complex systems and mentoring others in technical design. • Ability to scope project-level work, execute independently, and bring projects to completion while collaborating with teammates.
• Comprehensive Medical, Dental, Vision & Life insurance • HSA (with employer match), FSA, & DCFSA • 401(k) • 11 Paid Company Holidays • Location Flexibility • Flexible PTO policy • Annual company-wide offsite • Periodic team offsites • Annual equipment stipend • For roles based outside the US, your recruiter can share more details
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