Software Engineer

Motorola Solutions•Salt Lake, UT

1d•Remote

About The Position

Motorola Solutions is seeking a Senior Software Engineer to join the Blue Eye Monitoring team. This role will focus on designing, building, and scaling Blue Eye’s core software platform, encompassing backend systems, integrations, customer-facing applications, and internal operator tools. The ideal candidate will take ownership of major technical initiatives, mentor other engineers, and drive engineering quality and velocity. This is a hands-on senior engineering position for individuals who enjoy solving complex real-world problems related to distributed systems, integrations, cloud infrastructure, and mission-critical workflows. Blue Eye Monitoring utilizes proprietary Blackbox technology and AI software to transform existing camera networks into active security systems, with a command center staffed by Video Surveillance Technicians (VSTs) who respond to detected threats. Blue Eye was acquired by Motorola Solutions in November 2025.

Requirements

10+ years of professional software engineering experience
Strong experience building production systems in JavaScript / TypeScript
Experience with backend development in Node.js and/or C#
Experience designing scalable APIs and service integrations
Experience with relational databases such as PostgreSQL
Strong understanding of distributed systems and asynchronous workflows
Experience working in cloud environments (Azure preferred)
Strong debugging and performance optimization skills
Experience mentoring engineers and leading technical initiatives
Excellent communication and ownership mindset
Legal authorization to work in the U.S. indefinitely is required.
Employer work permit sponsorship is not available for this position.

Nice To Haves

Experience managing fleets of Linux-based edge appliances or remote devices
Experience building cloud control planes for provisioning, configuration, monitoring, and lifecycle management of distributed systems
Experience with OTA/software update systems, version control, staged rollouts, rollback strategies, and remote remediation
Familiarity with telemetry pipelines, metrics collection, remote logging, and fleet health dashboards
Experience tuning workloads for resource-constrained environments (CPU, RAM, storage, network bandwidth)
Experience designing systems that tolerate unreliable connectivity and recover automatically after outages
Experience with Kubernetes / containerized environments
Experience with Azure Event Hub, Event Grid, Service Bus, or similar systems
Experience integrating with third-party enterprise software platforms
Familiarity with Terraform or infrastructure-as-code workflows
Experience with observability platforms such as Grafana, Prometheus, Loki
Experience with video systems, streaming, WebRTC, or surveillance platforms

Responsibilities

Design, build, and maintain software across Blue Eye products, including backend services and APIs, third-party integrations, the AIPX web application, the Blue Eye customer portal, internal operational and automation tools, and cloud systems for managing distributed edge appliances.
Provide technical leadership by owning end-to-end delivery of complex features, designing scalable and maintainable solutions, leading architecture discussions, improving engineering standards and code quality, mentoring engineers, and breaking down ambiguous problems into executable plans.
Improve engineering quality and velocity as the platform grows.
Build modern backend services using JavaScript/Node.js and C#.
Develop front-end features using TypeScript/JavaScript.
Work with cloud-native services and event-driven systems.
Build and maintain CI/CD deployment workflows.
Design systems for remote device provisioning, configuration, and software updates.
Improve observability, telemetry, alerting, and fleet health monitoring for field devices.
Build resilient software for intermittent connectivity and remote recovery scenarios.
Optimize workloads for constrained CPU, memory, storage, and bandwidth environments.
Troubleshoot production issues across cloud services and deployed edge systems.
Participate in sprint planning, technical estimation, and retrospectives.