Onsite Principal AI Network Automation Engineer

Cricket Wireless LLC.

Plano (TX)

On-site

USD 174,000 - 261,000

Full time

2 days ago
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Benefits offered by this job

Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
Paid Parental Leave
Disability Benefits
Employee discounts

Job summary

AT&T in Plano, Texas is seeking a Principal Software Engineer to advance intelligent operational platforms powering a large telecommunications network. You will design, build, test, and automate enterprise systems for provisioning, service delivery, observability, and autonomous operations.

You will collaborate across software, network architecture, and operations teams; leverage AI and automation to improve reliability, scalability, and efficiency, and contribute to hands-on lab environments

Qualifications

  • Telecommunications network experience with IP/transport/wireless domains.
  • Experience with OSS platforms and network lifecycle workflows.
  • Familiarity with network automation, orchestration, SDN, and OSS/ES.
  • Strong programming skills in Python or similar languages for automation and analytics.

Responsibilities

  • Build AI-driven automation solutions for network operations and service delivery.
  • Develop, test, and validate lab environments mirroring production networks.
  • Onboard network infrastructure and services into automation platforms.
  • Analyze logs and telemetry to improve platform performance and observability.
  • Advance AI capabilities for automated operations and workflow optimization.

Skills

Python programming
Automation
CI/CD
Linux
Observability

Education

Bachelor's degree in CS/Engineering

Tools

Git
Docker
Kubernetes
APIs
Linux/Unix

Job description

AT&T in Plano, Texas is seeking a Principal Software Engineer to advance intelligent operational platforms powering a large telecommunications network. You will design, build, test, and automate enterprise systems for provisioning, service delivery, observability, and autonomous operations.

You will collaborate across software, network architecture, and operations teams; leverage AI and automation to improve reliability, scalability, and efficiency, and contribute to hands-on lab environments

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