Senior/Staff Frontend Platform Engineer

Motorola Solutions•Chicago, IL

1d•Hybrid

About The Position

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. The Frontend Platform Engineering department is dedicated to building scalable, high-performance infrastructure that powers the development and delivery of modular, AI-driven features across our applications. This team focuses on creating robust middle-layer services, secure integration points, and seamless pipelines to ensure a frictionless experience for developers and end-users alike. With an emphasis on innovation, quality, and speed, the department sets the foundation for cutting-edge frontend technologies and operational excellence. Our engineers are experts in architecting micro-frontend systems, optimizing cloud deployments, and leveraging AI to streamline development workflows. They drive cross-functional initiatives, implement rigorous testing strategies, and maintain enterprise-grade standards for security, performance, and accessibility. The Frontend Platform Engineering team is a hub for technical leadership and transformative solutions, enabling the organization to deliver dynamic, high-impact features at scale. Join our high-velocity team as a Senior Frontend Platform Engineer, where you will serve as a primary technical driver for our next-generation Frontend Platform. You won't just be building UI components; you will be architecting the "engine" that allows decoupled features to be registered, filtered, and executed at scale. You will be responsible for the end-to-end success of our Frontend Platform initiatives—from designing the service contracts that filter modules based on complex permissions to building the automated pipelines that handle global feature overrides. While primarily an Individual Contributor (IC), you will take ownership of the frontend infrastructure, setting the standard for quality and performance in an AI-native development environment.

Requirements

5+ years of progressive technical experience with a clear track record of successfully shipping and maintaining complex, distributed frontend systems.
Proficiency in at least one modern Frontend JS framework (e.g., React, Angular, Vue, Stencil, or Svelte).
Proven ability to communicate complex technical concepts to non-technical stakeholders and successfully persuade others to adopt specific engineering strategies or architectural shifts.
Expert-level proficiency in Node.js and TypeScript for building robust, service-oriented layers that support frontend orchestration.
Practical experience with single-spa or similar Micro-Frontend frameworks. You should have a deep understanding of the challenges surrounding runtime integration, asset discovery, and versioning.
Advanced experience with modern testing frameworks and methodologies. You must be proficient in writing and maintaining Unit, E2E, and Contract tests to support a continuous deployment model.
Experience deploying and managing services on major cloud platforms (GCP, AWS, or Azure) and architecting deployment automation using GitHub Workflows.
Hands-on experience using NoSQL (MongoDB) to manage state, configuration manifests, and service metadata.
A deep understanding of scale challenges in real-time platforms. You must be able to anticipate stress points in systems handling thousands of concurrent metadata updates.
Advanced proficiency in leveraging AI methodologies to accelerate development. You don't just use AI to write code; you use it to analyze architecture, generate tests, and optimize the delivery pipeline.
An uncompromising bar for craftsmanship. You understand that in an AI-driven world, the ability to audit, refactor, and harden code is the most critical skill an engineer possesses.
5+ years of software engineer experience
3+ years of technical leadership experience
3+ years of TypeScript experience
Legal authorization to work in the U.S. indefinitely is required.

Nice To Haves

Practical experience with Docker and Kubernetes (K8s) for containerizing and orchestrating frontend middle-layer services.
Experience with real-time communication protocols (WebSockets, gRPC) for high-frequency data updates.
Familiarity with video streaming over WebRTC and HLS, as well as handling real-time audio streams

Responsibilities

Propose and lead technical designs for our Module Manifest and Registry services, ensuring that the "middle layer" correctly orchestrates feature delivery across multiple disparate applications.
Present and justify architectural decisions and engineering roadmaps to cross-functional stakeholders. You must be able to articulate the "why" behind platform decisions and convince leadership of the long-term value of our technical direction.
Own the frontend integration with Authorization and Identity services. You will design the handshakes that ensure the platform securely filters and renders modules based on dynamic role-based payloads.
Lead the development of the “Publish and Promote” services. You will build the logic that enables other teams to independently release, hotfix, and A/B test features without monolithic deployment dependencies.
Drive the implementation of our Node.js and TypeScript services that manage configuration state and metadata, utilizing MongoDB for persistent manifest storage.
Maintain our standard for high-quality, high-speed delivery by implementing and advocating for a comprehensive testing strategy, including Unit, End-to-End (E2E), and Contract testing to ensure platform stability.
Design and maintain automated CI/CD pipelines using GitHub Workflows to manage the lifecycle of micro-frontends across cloud environments (GCP, AWS, or Azure).
Lead the development of high-performance UI patterns for visualizing AI-generated metadata, ensuring that complex Rationale and Scene Intelligence logic are rendered with sub-300ms latency.
Perform rigorous code reviews of both human and AI-generated code. You will serve as the final filter to ensure that AI-assisted workflows maintain enterprise-grade security, performance, and accessibility standards.