Staff Cloud Infrastructure Engineer, Beacon AI

• This role is ideal for someone who thrives in a startup environment, takes ownership, and is excited to bring ideas from 0 to 1
• Extensive Infrastructure Experience: 6–10+ years of experience in cloud infrastructure, DevOps, or Site Reliability Engineering roles, ideally with significant exposure to edge or IoT systems
• Hands-on Technical Expertise: Strong experience with AWS services (Greengrass, IoT Core), containerized deployments (e.g., Docker), and Infrastructure as Code tools like AWS CDK, Terraform, or Kubernetes
• Edge & Device Focus: Experience provisioning, securing, and deploying software to edge compute devices (Jetson, Raspberry Pi, etc.) in production environments
• Secure Communication & System Design: Deep understanding of edge-to-cloud messaging protocols like MQTT and encrypted data exchange between devices and cloud systems
• Ownership & Initiative: Thrives in fast-paced, ambiguous environments with a strong bias toward action. Capable of driving large infrastructure initiatives with minimal supervision
• Collaborative Leadership: Effective at working across disciplines (hardware, embedded, software) and mentoring junior engineers to raise the technical bar

Desirable

• We are seeking a Staff Cloud Infrastructure Engineer to lead the design, implementation, and optimization of our cloud and edge infrastructure. This pivotal role combines deep cloud expertise with edge computing strategy to ensure reliable, scalable, and secure deployment of applications to connected devices in the field
• You’ll work across cloud and device environments, own key product infrastructure, and collaborate closely with embedded systems engineers
• Cloud & Edge Infrastructure Leadership: Design, implement, and maintain infrastructure that enables secure cloud-to-edge deployments using tools like AWS Greengrass v2, IoT Core, and other edge platforms. Lead initiatives to connect field devices to cloud systems reliably and securely
• Fleet & Device Management: Build scalable systems for provisioning, registration, and ongoing fleet management of Linux-based edge devices. Implement secure bootstrapping workflows and manage device lifecycle operations
• Deployment & CI/CD Ownership: Own CI/CD pipelines for both cloud infrastructure and field devices, including strategies for OTA updates, rollbacks, and continuous monitoring. Ensure high system reliability and uptime across environments
• Performance & Cost Optimization: Optimize infrastructure for cost, observability, and performance—especially in resource-constrained edge environments
• Monitoring & Incident Response: Develop infrastructure monitoring tools and contribute to a robust incident response strategy for IoT and cloud systems
• Cross-functional Collaboration: Work closely with embedded systems engineers to integrate edge applications with cloud services, ensuring seamless interoperability and data flow