Software Engineer
Motorola · Allen, TX (TX139) ·
- Category
- Software engineering
- Experience
- 4+ years
Motorola · Allen, TX (TX139) ·
Motorola Solutions · Vancouver, Canada
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.
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.
DevOps 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.
DevOps & 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 real-world software workflows.
Communication: Exceptional interpersonal and communication skills with experience directly engaging external vendors, Tier-1 carriers, and internal cross-functional teams.
#LI-JM2
Target Base Salary Range: $83,800 - $107,600 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.
Experience: 4+ years of hands-on experience in DevOps, Site Reliability Engineering (SRE), telecommunications operations, or mission-critical software deployment.
Bachelor’s degree in Computer Science, Computer Engineering, Telecommunications, or equivalent practical experience.
Legal indefinite work authorization is required. Employer work sponsorship is not available for this position.
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.