Senior AI Ops Engineer for Mission-Critical PTT

Motorola Solutions; Allen (TX); On-site; USD 84,000 - 108,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Job summary

Motorola Solutions is seeking a Senior Software Engineer (AI Operations) to lead operational stability, automation, and AI-first transformation for MCPTT deployments. You will own production change controls, build CI/CD pipelines, and collaborate with vendors and Tier-1 carriers on AI-powered troubleshooting in a high-stakes environment.

The role emphasizes cross-functional teamwork, rapid learning, and applying AI tooling to production workflows while ensuring reliability across Linux-based

Qualifications

• 4+ years of hands-on experience in DevOps, 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.

Responsibilities

• Own end-to-end production change controls on live carrier networks.
• Build and integrate advanced CI/CD pipelines for automated release cycles.
• Collaborate with vendors and internal teams to implement AI-driven troubleshooting tools.
• Develop automated post-deployment validation and health checks for MCPTT servers.
• Evaluate new AI frameworks and tools to modernize operational tooling.

Skills

DevOps

SRE

Automation

CI/CD pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Bash

Job description

Motorola Solutions is seeking a Senior Software Engineer (AI Operations) to lead operational stability, automation, and AI-first transformation for MCPTT deployments. You will own production change controls, build CI/CD pipelines, and collaborate with vendors and Tier-1 carriers on AI-powered troubleshooting in a high-stakes environment.

The role emphasizes cross-functional teamwork, rapid learning, and applying AI tooling to production workflows while ensuring reliability across Linux-based