Senior Full-Stack Engineer (Chicago Hybrid)

Motorola Solutions•Chicago, IL

10d•Hybrid

About The Position

Join our dynamic, agile R&D team as an Senior Full-Stack Engineer, where you will serve as a key architectural driver for our Evidence Management features, deployed on Google Cloud Platform (GCP). You will be responsible for the end-to-end success of major features—from proposing architectural approaches for video extraction to defining service contracts for AI-generated metadata. While primarily an Individual Contributor (IC), you will take on Technical Lead responsibilities for specific initiatives, actively mentoring peers and elevating our engineering standards. We expect a transformative approach, leveraging AI methodologies to optimize the development pipeline and ship high-performance media tools.

Requirements

Bachelor’s degree plus 4 + years of progressive technical experience, demonstrating successful ownership of complex, distributed features.
Practical experience with media processing tools (e.g., FFmpeg) to perform lossless trimming, transcoding, and frame-accurate media manipulation.
Proven ability to deploy and manage applications on GCP (GKE, Cloud Run, Cloud Storage).
Extensive experience designing robust service contracts and managing dependencies between Python/Java microservices.
Professional experience with Angular 17+ (specifically Signals ) for developing highly performant, real-time user experiences.
Deep understanding of scale challenges, fault-tolerant design, and the ability to anticipate and address stress points within media-heavy architectures.
Practical experience leveraging modern AI tools for coding, architectural trade-offs, and code analysis.
Bachelors degree with 4+ years of full stack engineering and Python experience AND 2+ years of Java experience
Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.

Responsibilities

Propose and facilitate technical discussions to arrive at agreed-upon architectural plans for video trimming, transcription, and packaging services.
Own the APIs for the Evidence Domain, coordinating with external consumer teams to ensure seamless integration and data integrity.
Groom stories from Product Management requirements and break down tasks for the team to enable rapid, parallel development.
Lead the implementation of frame-accurate video trimming, cropping, and snapshot extraction logic using libraries such as FFmpeg or GStreamer.
Lead the development of the Video Trim Editor and extraction logic, ensuring frame-accurate performance and efficient GCS data handling in the browser.
Conduct thorough code reviews, serving as a trusted source to catch edge cases, security gaps, and performance bottlenecks.
Actively contribute to development pipeline improvements (e.g., automated guardrails, RAG systems) to significantly cut down PR cycle time.
Participate in shipping LLM-powered features (e.g., scene description and object detection), monitoring live metrics to refine accuracy.