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Senior Full-Stack Engineer

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Hybrid

Senior Full-Stack Engineer

Motorola Solutions

Senior Full-Stack Engineer

Skills

Google Cloud PlatformPythonProduct ManagementJavaMicroservicesRAIWorkday

2 months ago

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Important information


Contract type:

Permanent

Salary:

$135,000 – $155,000 / year

Location:

Chicago, IL, USA

Work mode:

Hybrid

Published on:

7 August 2026

What they need


  • 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
  • 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

Benefits

  • Flexible work models
  • Paid time off
  • Paid parental and family leave
  • Health care benefits
  • Global wellness resources
  • Employee assistance programs
  • Rotation programs
  • Mentor relationships
  • Learning and development opportunities
  • Retirement benefits
  • Employee bonuses
  • Stock grants & employee stock purchase plans- Frontend Expertise: Professional experience with Angular 17+ (specifically Signals) for developing highly performant, real-time user experiences
  • GCP Proficiency: Proven ability to deploy and manage applications on GCP (GKE, Cloud Run, Cloud Storage)
  • System Integrity: Deep understanding of scale challenges, fault-tolerant design, and the ability to anticipate and address stress points within media-heavy architectures
  • Media Processing Mastery: Practical experience with media processing tools (e.g., FFmpeg) to perform lossless trimming, transcoding, and frame-accurate media manipulation
  • Experience & Impact: Bachelor’s degree plus 4+ years of progressive technical experience, demonstrating successful ownership of complex, distributed features
  • API/Contract Ownership: Extensive experience designing robust service contracts and managing dependencies between Python/Java microservices
  • Transformative Mindset: Practical experience leveraging modern AI tools for coding, architectural trade-offs, and code analysis
  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract
  • Bachelors degree with 4+ years of full stack engineering and Python experience
  • AND 2+ years of Java experience

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