Principal Reliability & FinOps Engineer - AI-Driven Cloud

AT&T; Bothell (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

AT&T Technology Services seeks a Principal System Engineer to lead reliability, FinOps, and automation initiatives across multicloud and hybrid environments. You will shape strategies, drive optimization, and deliver measurable savings while maintaining secure, scalable platforms.

You will mentor engineers, influence cross-functional roadmaps, and partner with internal teams to accelerate adoption of policy-driven, automated solutions in a fast-paced enterprise setting.

Qualifications

• 7+ years of progressive experience in systems engineering.
• Experience leading FinOps, cloud optimization, and automation initiatives.
• Strong skills in scripting and automation (Python, PowerShell, Bash).

Responsibilities

• Provide principal-level technical leadership across Azure, AWS, Kubernetes, and hybrid-cloud environments.
• Lead FinOps and infrastructure optimization activities including cost allocation, anomaly detection, and waste reduction.
• Develop policy-driven, closed-loop optimization workflows from identification to reporting.
• Apply automation-by-default using Python, PowerShell, Bash, REST APIs, and cloud-native services.
• Design generative AI and automation solutions for engineering operations and cost analysis.
• Establish governance, security, and change-management patterns with policy-as-code controls.
• Engineer secure identity models and RBAC across platforms.
• Integrate optimization with Terraform, GitHub, and CI/CD pipelines while preventing drift.
• Build executive dashboards communicating cloud spend, reliability, and savings.

Skills

Cloud optimization

FinOps

Python

PowerShell

Terraform

Kubernetes

Tools

Azure

AWS

GitHub

Job description

AT&T Technology Services seeks a Principal System Engineer to lead reliability, FinOps, and automation initiatives across multicloud and hybrid environments. You will shape strategies, drive optimization, and deliver measurable savings while maintaining secure, scalable platforms.

You will mentor engineers, influence cross-functional roadmaps, and partner with internal teams to accelerate adoption of policy-driven, automated solutions in a fast-paced enterprise setting.