JobsMotorola Solutions

Senior Full-Stack Engineer (Chicago Hybrid)

Motorola Solutions · Chicago, IL

Posted Jul 30, 2026 · We last checked this listing on Sep 20, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

Behavioral

Walk me through a time you owned an architecture decision end to end, from proposing the approach to seeing it through implementation. What was the feature and what tradeoffs did you weigh?

whether the candidate has actually driven architecture decisions rather than just executed someone else's design

Tell me about a time an external team's integration with your API broke or drifted out of sync. What happened and what did you change afterward?

real experience managing contract ownership under organizational friction, not just technical design skill

Tell me about a time you had to break a large, ambiguous feature request from product management into tasks the team could work on in parallel.

grooming and delegation skill, since this role is explicitly IC-plus-tech-lead

Describe a code review where you caught something serious, a security gap or a performance bottleneck, that others missed. How did you raise it?

whether they exercise real technical judgment in review, not just style nitpicks

Tell me about a time you had to mentor a peer or push back on their technical approach while still keeping the relationship good.

soft-skill readiness for informal tech lead responsibilities without formal authority

Technical

Say you need to design frame-accurate video trimming that has to work reliably in the browser and hand off cleanly to a backend packaging service. How would you split the work between client and server, and why?

depth of real experience with media processing constraints, not just familiarity with the term FFmpeg

Tell me about the trickiest bug or edge case you've hit doing lossless trimming or transcoding with FFmpeg or GStreamer. How did you track it down?

hands-on scars versus surface-level knowledge of media libraries

How would you design a service contract for an Evidence Domain API that multiple external consumer teams depend on, knowing that requirements will keep shifting?

ability to design for change and manage cross-team dependencies without constant breakage

You're building a real-time video trim editor in Angular with Signals, and it needs to handle large files pulled from Google Cloud Storage smoothly in the browser. What's your approach to keeping it performant?

whether their Angular Signals experience is genuinely recent and production-grade versus resume keyword

How have you actually used AI tools day to day in your engineering work, beyond code completion, like for architectural tradeoffs or PR cycle time improvements?

whether the 'transformative AI mindset' is a genuine practice or a buzzword answer

How do you approach coordinating a Python microservice and a Java microservice that need to share data cleanly, especially when the two codebases evolve at different speeds?

concrete experience across the polyglot stack the job actually requires, not just one language

Situational

Imagine your team is shipping an LLM-powered scene description feature and the live accuracy metrics start dropping after launch. What do you do first?

practical judgment about monitoring and iterating on AI features versus purely theoretical AI enthusiasm

Picture a media-processing service that starts falling over under a spike in concurrent video uploads on GKE. How would you figure out where it breaks and design around that?

understanding of fault tolerance and scale in a distributed, media-heavy system rather than generic cloud knowledge

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The full job description

As published by Motorola Solutions.

Company Overview 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. Department Overview 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. Job Description Responsibilities: • Architectural Ownership: Propose and facilitate technical discussions to arrive at agreed-upon architectural plans for video trimming, transcription, and packaging services. • Contract Definition & Coordination: Own the APIs for the Evidence Domain, coordinating with external consumer teams to ensure seamless integration and data integrity. • Feature Grooming & Delegation: Groom stories from Product Management requirements and break down tasks for the team to enable rapid, parallel development. • Hands-on Media Manipulation: Lead the implementation of frame-accurate video trimming, cropping, and snapshot extraction logic using libraries such as FFmpeg or GStreamer . • High-Performance UI/UX: Lead the development of the Video Trim Editor and extraction logic, ensuring frame-accurate performance and efficient GCS data handling in the browser. • Quality & Review: Conduct thorough code reviews, serving as a trusted source to catch edge cases, security gaps, and performance bottlenecks. • Pipeline Transformation: Actively contribute to development pipeline improvements (e.g., automated guardrails, RAG systems) to significantly cut down PR cycle time. • AI Integration: Participate in shipping LLM-powered features (e.g., scene description and object detection), monitoring live metrics to refine accuracy. Requirements: • Experience & Impact: Bachelor’s degree plus 4 + years of progressive technical experience, demonstrating successful ownership of complex, distributed features. • Media Processing Mastery: Practical experience with media processing tools (e.g., FFmpeg) to perform lossless trimming, transcoding, and frame-accurate media manipulation. • GCP Proficiency: Proven ability to deploy and manage applications on GCP (GKE, Cloud Run, Cloud Storage). • API/Contract Ownership: Extensive experience designing robust service contracts and managing dependencies between Python/Java microservices. • Frontend Expertise: Professional experience with Angular 17+ (specifically Signals ) for developing highly performant, real-time user experiences. • System Integrity: Deep understanding of scale challenges, fault-tolerant design, and the ability to anticipate and address stress points within media-heavy architectures. • Transformative Mindset: Practical experience leveraging modern AI tools for coding, architectural trade-offs, and code analysis. Target Base Salary Range: $135,000 USD - $155,000 USD 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 be in the Chicago office 2 days per week. #LI-MP2 #LI-HYBRD Basic Requirements • 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. Travel Requirements None Relocation Provided None Position Type Experienced Referral Payment Plan No Our U.S. Benefits include: • Incentive Bonus Plans • Medical, Dental, Vision benefits • 401K with Company Match • 10 Paid Holidays • Generous Paid Time Off Packages • Employee Stock Purchase Plan • Paid Parental & Family Leave • and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.  We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this  Reasonable Accommodations Form  so we can assist you.

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