below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$173,737–$221,850
— the blue band above.
At the midpoint, this role pays about
$218k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About AT&T
AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.
AT&T currently has
98 open roles
on FindRole.
Listed pay typically runs
$100,000–$206,000
across 93 roles with salary data.
The Principal Software Engineer joins the team to drive the next generation of intelligent operational platforms for a large-scale telecommunications network. This role focuses on developing, integrating, and automating enterprise platforms that support network provisioning, service delivery, observability, and autonomous operations. You will build AI-driven automation solutions, manage N/N+1 lab environments, and validate inventory synchronization and workflow execution. Key responsibilities include analyzing telemetry for root-cause analysis and supporting the development of Machine Learning and Generative AI capabilities. Required skills include proficiency in Python, APIs, microservices, and distributed systems, alongside experience with Linux, Git, containers, and CI/CD pipelines. You must possess deep telecommunications expertise in OSS platforms, network lifecycle management, and software-defined networking to solve complex operational challenges through intelligent automation.
What does a Software Engineer earn in Texas?
Median $178175 from 195 postings across 46 companies.
Design, develop, and support AI-driven automation solutions to improve network operations and service delivery.
Build and maintain N/N+1 lab environments that replicate production network architectures and operational workflows.
Onboard network infrastructure, applications, and services into automation and operational platforms.
Analyze logs and telemetry data to perform root-cause analysis and resolve complex integration challenges.
Develop AI and Machine Learning capabilities for anomaly detection, predictive analytics, and workflow optimization.
Create technical documentation including deployment guides, validation plans, and troubleshooting runbooks.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications Engineering, Data Science, or a related technical discipline.
Experience working with telecommunications network environments including IP, transport, optical, wireless, or service delivery architectures.
Knowledge of OSS platforms, network lifecycle management, service provisioning, activation, inventory, assurance, and operational workflows.
Strong programming skills in Python or similar languages used for automation, testing, and analytics.
Experience with APIs, microservices, distributed systems, and enterprise platform integrations.
Hands-on experience with Linux/Unix environments, Git, containers, CI/CD pipelines, and automation frameworks.
Knowledge of AI, Machine Learning, Generative AI, intelligent automation, or advanced analytics solutions.
Experience supporting telecommunications service providers, network operators, or large-scale enterprise network environments (preferred).
Python
Java
Kubernetes
Oracle Cloud Infrastructure
AI
ML
LLM
Distributed Systems
CI/CD
Linux
APIs
Data Pipelines
Containers
Network Automation
Observability
MCP
A2A
Distributed Databases
Storage Systems
C
C++
C#
Java
Python
JavaScript
Cloud Infrastructure
Service Architecture
Capacity Planning
Data Protection
Telemetry
Root-Cause Analysis
Operational Automation
System Design
Application Development
Agentic AI
Cloud Native
AI-assisted Development
Automation
Software Design Frameworks
Testing
Security
Resiliency