Software Engineer, DevOps, AI Engineer (Applied​/Software)

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

Motorola Solutions is a global leader in public safety and enterprise security. We provide mission-critical communication and data solutions that help our customers make the world safer and more productive.

The Unified Communications team has a mission to become the leader in creating a highly scalable software platform and communication applications for first responders and enterprise work groups. Our customers rely on these solutions to run their critical business operations in the public safety, manufacturing, and infrastructure sectors. Every single day, we are shaping the future of mobile workgroup solutions for public safety and industrial users worldwide leveraging Motorola's rich heritage in this space.

Our solutions include mission critical broadband Push to Talk (PTT), Mission Critical Video (MCVIDEO), Mission Critical Data (MCDATA), multimedia messaging, location based collaboration, interoperability with land mobile radio (LMR) systems and other MSI Product Suites. The products include client apps on Android, iOS, and Windows. Our backend software can be deployed On-Prem, in private data centers, or in a public cloud infrastructure.
Job Description

The Unified Communications team at Motorola Solutions is seeking an adaptable, high-impact Senior Software Engineer (AI Operations) to spearhead the operational stability, automation, and AI-first transformation of our Mission-Critical Push-To-Talk (MCPTT) carrier deployments.

This is an AI Operations++ role sitting at the intersection of complex telecommunications engineering, modern Continuous Delivery (CD), and applied operational AI. In this position, you will own the end-to-end execution of production change controls on live carrier networks, build and integrate advanced CI/CD pipelines, and collaborate with emerging technology teams to implement AI-driven troubleshooting tools.
If you bring a fast-learning mindset, excel at cross-functional collaboration with external vendors and Tier-1 carriers, and thrive in high-stakes production environments, this role offers an ideal platform to drive real-world impact.

Mission-Critical Operations & Production Change Control

• High-Risk Maintenance Windows:
  Dedicate 30-40% of your working schedule to off-hours/night maintenance windows to safely execute critical production change controls, major software releases, and security patches on Linux-based private and public cloud servers.
• Carrier Deployment & Integration:
  Collaborate directly with vendor and customer counterparts to integrate product features in both lab and live production environments.

Dev Ops Pipeline, Automation & AI Tooling

• Advanced Continuous Delivery:
  Architect, optimize, and maintain modern CI/CD deployment pipelines to transform manual release procedures into automated, frictionless delivery cycles.
• AI-Powered Troubleshooting & Observability:
  Evaluate, adopt, and integrate emerging AI tools (such as automated anomaly detection and intelligent log parsing) directly into the production change pipeline.
• Automated Quality Validation:
  Develop automated post-deployment test suites to instantly validate MCPTT server health checks and core features.
• Technology Adoption:
  Maintain a continuous learning mindset to rapidly assess new platforms, AI frameworks, and networking technologies to modernize operational toolsets.

Workflow Innovation & Stakeholder Engagement

• Cross-Functional Collaboration:
  
  Partner closely with internal R&D, central AI Engineering, Product Management, and third-party vendors to seamlessly integrate AI-driven enhancements into production workflows.
• Customer-Facing Execution:
  Support carrier partners and end-customers during validation test cycles for newly deployed MCPTT applications.
• Process Optimization:
  Identify operational bottlenecks and pioneer context-aware, AI-assisted workflows that eliminate human error and enhance engineer on-call efficiency.

• Shift Flexibility:
  Willingness and capability to dedicate 30-40% of your working schedule to off-hours/night work for scheduled production change windows.
• Networking & Protocols:
  Strong foundational knowledge of TCP/IP networking, routing, Session Initiation Protocol (SIP), and telecom management tools.
• Dev Ops & Automation:
  Practical proficiency with CI/CD tooling, infrastructure automation, scripting (Python, Bash, etc.), and automated testing frameworks.
• AI Aptitude:
  Demonstrated agility in evaluating and adopting emerging AI technologies, LLM APIs, or intelligent AIOps tools for…