Field & Cloud DevOps Engineer (Edge Infrastructure)

Team: Engineering

Location: San Francisco Bay Area

Commitment: Full-Time

Workplace Type: onsite

Key Responsibilities

• Own end-to-end infrastructure operations spanning customer sites, edge devices, and AWS production environments
• Plan and execute customer deployments in collaboration with customer IT teams, including leading technical discussions around network architecture, security requirements, and deployment constraints, translating customer IT policies into executable deployment plans, and driving deployment readiness and timelines to ensure on-time launches
• Deploy, configure, and maintain edge compute hardware in customer environments, including installing and maintaining Linux-based operating systems, creating, deploying, and updating standardized golden images, managing OS patches, drivers, firmware, and security updates, and diagnosing hardware, OS, and performance issues remotely and on-site
• Design, integrate, and troubleshoot customer-side networking, including VLANs, firewall rules, NAT, routing, and bandwidth constraints, IP camera and video infrastructure (RTSP, ONVIF, PoE, managed switches), and operating effectively within locked-down or highly regulated networks
• Build and operate AWS-based infrastructure supporting edge systems, including Kubernetes (EKS) clusters and containerized workloads, CI/CD pipelines for deployment and upgrades, and logging, monitoring, and alerting across distributed systems
• Develop and maintain automation and internal tooling, including Python for deployment automation, operational tooling, and system workflows, shell scripting for provisioning, configuration, and diagnostics, and tools that reduce manual effort and improve deployment repeatability
• Ensure reliable edge-to-cloud connectivity and data flow, debugging failures across networking, software, and infrastructure boundaries
• Lead incident response and operational debugging across edge and cloud systems, driving issues to root cause and permanent resolution
• Own infrastructure cost visibility and optimization, including monitoring and analyzing AWS spend, implementing right-sizing, scaling, and cost controls, and working with external cost-optimization partners and tooling
• Feed real-world deployment and operations insights back into product and infrastructure design, improving reliability and scalability

Preferred Qualifications

• Experience with edge computing or on-prem deployments
• Familiarity with IP camera systems, RTSP, video infrastructure and Video Management Systems
• Experience with infrastructure-as-code (Terraform or CloudFormation)
• Experience managing or optimizing cloud infrastructure costs
• Background working in fast-moving startup environments

What Success Looks Like

• Customer deployments are predictable, on-time, and repeatable
• Edge systems are stable, secure, and easy to operate at scale
• Cloud infrastructure is reliable, observable, and cost-efficient
• Issues are diagnosed quickly and resolved permanently
• Engineering teams move faster because infrastructure “just works”