Software Engineer

Motorola Solutions•Allen, TX

11d

About The Position

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.

Requirements

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.
Strong foundational knowledge of TCP/IP networking, routing, Session Initiation Protocol (SIP), and telecom management tools.
Practical proficiency with CI/CD tooling, infrastructure automation, scripting (Python, Bash, etc.), and automated testing frameworks.
Demonstrated agility in evaluating and adopting emerging AI technologies, LLM APIs, or intelligent AIOps tools for real-world software workflows.
Exceptional interpersonal and communication skills with experience directly engaging external vendors, Tier-1 carriers, and internal cross-functional teams.

Nice To Haves

Willingness and capability to dedicate 30–40% of your working schedule to off-hours/night work for scheduled production change windows.

Responsibilities

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.
Collaborate directly with vendor and customer counterparts to integrate product features in both lab and live production environments.
Architect, optimize, and maintain modern CI/CD deployment pipelines to transform manual release procedures into automated, frictionless delivery cycles.
Evaluate, adopt, and integrate emerging AI tools (such as automated anomaly detection and intelligent log parsing) directly into the production change pipeline.
Develop automated post-deployment test suites to instantly validate MCPTT server health checks and core features.
Maintain a continuous learning mindset to rapidly assess new platforms, AI frameworks, and networking technologies to modernize operational toolsets.
Partner closely with internal R&D, central AI Engineering, Product Management, and third-party vendors to seamlessly integrate AI-driven enhancements into production workflows.
Support carrier partners and end-customers during validation test cycles for newly deployed MCPTT applications.
Identify operational bottlenecks and pioneer context-aware, AI-assisted workflows that eliminate human error and enhance engineer on-call efficiency.