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Motorola Solutions

Senior Staff Full-Stack Engineer (Chicago Hybrid)

Posted 11 Days Ago
Be an Early Applicant
Hybrid
Chicago, IL
140K-180K Annually
Senior level
Hybrid
Chicago, IL
140K-180K Annually
Senior level
Responsible for leading the Evidence Domain as a Senior Staff Full-Stack Engineer, managing project milestones, and driving technical strategy with a focus on GCP architecture and AI integration.
The summary above was generated by AI
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 team as a Senior Staff Full-Stack Engineer, serving as the primary technical authority and Lead for the Evidence Domain. In this high-impact role, you will transcend individual feature ownership to drive the multi-sprint technical strategy for our most complex, mission-critical systems exclusively on Google Cloud Platform (GCP).
You will be responsible for taking vaguely defined product requirements and refining them into a scalable, asynchronous architecture that balances immediate delivery with long-term platform health. As a Technical Lead, you will oversee the Evidence Preparation and Egress domains, managing project milestones, sprint grooming, and team velocity. You will define the "North Star" for our development pipeline, integrating advanced AI methodologies to radically optimize how we build, secure, and deploy court-ready evidence.
Job Description
Responsibilities:
  • Strategic Technical Leadership: Act as the Team Lead for the Evidence Domain, overseeing sprint planning, grooming, and driving the team toward critical delivery milestones.

  • GCP Ecosystem Architecture: Propose and defend robust architectures for high-stakes problems, leveraging GKE, Pub/Sub, Vertex AI, and Cloud Storage to build fault-tolerant systems.

  • Media Pipeline Architecture: Architect scalable media processing pipelines, including distributed transcoding, storage optimization for high-volume video, and digital integrity verification (SHA-256) to ensure court-ready evidence.

  • Universal Egress Design: Architect a vendor-agnostic "Adapter Pattern" for evidence transfers, ensuring the platform can securely handshake with any third-party repository via OAuth 2.0 and mTLS.

  • Requirements Refinement: Partner with Product Management to translate broad visions into actionable technical stories and architectural blueprints.

  • Cross-Team Coordination: Drive interactions across infrastructure and security teams to resolve dependencies and ensure the platform remains cohesive and performant.

  • AI Frontier Development: Lead the implementation of LLM-powered features (e.g., automated evidence summarization via Vertex AI), ensuring rigorous monitoring of live metrics and feedback-loop integration.

  • Advanced Mentorship: Serve as a subject matter expert (SME) across the organization, coaching engineers and setting the standard for technical excellence.

Requirements:

  • Experience & Breadth: Bachelor’s degree plus 5+ years of progressive technical experience, including success managing complex projects that span multiple sprints and teams. Rust and C++ experience is preferred.

  • GCP Deep Expertise: Recognized expert in the Google Cloud ecosystem, specifically GKE, VPC Service Controls, and IAM Workload Identity.

  • Systems Media Experience: Proven experience architecting large-scale video processing workflows, including worker-pool strategies for transcoding, bitstream manipulation, and metadata preservation.

  • Orchestration Mastery: Deep experience with event-driven architectures, state machine design, and managing complex service-to-service contracts.

  • Leadership Presence: Proven ability to lead through influence, facilitate technical consensus among senior peers, and drive team velocity.

  • Transformative AI Proficiency: Demonstrable experience using modern AI tools (e.g., Claude Code, Cursor) to accelerate the SDLC and automate complex task breakdowns.

Target Base Salary Range: $140,000 USD - $180,000 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 5+ years of full stack engineering and Python experience

  • AND 3+ years of Java experience

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. 


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.

Top Skills

C++
Cloud Storage
Gke
Google Cloud Platform
Mtls
Oauth 2.0
Pub/Sub
Rust
Vertex Ai

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