SeniorStaff Frontend Platform Engineer

You will be responsible for the end-to-end success of our Frontend Platform initiativesfrom 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.

Responsibilities Include

• Platform Architecture Ownership: 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.

• Technical Advocacy & Influence: 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.

• Security & Handshake Logic: 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.

• Module Lifecycle & Governance: 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.

• Middle Layer Implementation: Drive the implementation of our and TypeScript services that manage configuration state and metadata utilizing MongoDB for persistent manifest storage.

• High-Velocity Testing Rigor: 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.

• Pipeline & Cloud Integration: Design and maintain automated CI/CD pipelines using GitHub Workflows to manage the lifecycle of micro-frontends across cloud environments (GCP AWS or Azure).

• High-Intent Data Visualization: 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.

• Quality Guardianship & AI Auditing:
  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.

Required Qualifications

• Demonstrated Impact: 5 years of progressive technical experience with a clear track record of successfully shipping and maintaining complex distributed frontend systems. We value hands-on examples of success over formal degrees.

• Framework Versatility: Proficiency in at least one modern Frontend JS framework (e.g. React Angular Vue Stencil or Svelte).

• Strategic Influence: Proven ability to communicate complex technical concepts to non-technical stakeholders and successfully persuade others to adopt specific engineering strategies or architectural shifts.

• Middle Layer Mastery: Expert-level proficiency in and TypeScript for building robust service-oriented layers that support frontend orchestration.

• Architectural Depth (MFE): 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.

• Testing Excellence: 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.

• Cloud & CI/CD Proficiency: Experience deploying and managing services on major cloud platforms (GCP AWS or Azure) and architecting deployment automation using GitHub Workflows..

• Data Persistence & Configuration: Hands-on experience using NoSQL (MongoDB) to manage state configuration manifests and service metadata.

• Systems Integrity: 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.

• Transformative AI Mindset: Advanced proficiency in leveraging AI methodologies to accelerate development. You dont just use AI to write code; you use it to analyze architecture generate tests and optimize the delivery pipeline.

• The Eye for Quality: 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.

Bonus Points For:

• 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.

• Media Expertise: Familiarity with video streaming over WebRTC and HLS as well as handling real-time audio streams

Target Base Salary Range:$130000 CAD - $145000 CAD

Consistent with Motorola Solutions values and applicable law we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge skills and experience. The actual offer will be based on the individual candidate.

Note: Candidate must go in the office 1-2 days per week.

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