Principal Reliability & FinOps Engineer | AI & Automation

AT&T; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

AT&T Technology Services is seeking a Principal System Engineer to lead FinOps, cloud optimization, and AI-driven automation across Azure, AWS, Kubernetes, and hybrid-cloud environments. You will translate business needs into durable solutions, guide cross-functional roadmaps, and drive cost efficiency and reliability at enterprise scale.

Join a team focused on secure, scalable platforms, intelligent automation, and governance to reduce cloud waste while delivering measurable value through

Qualifications

• Experience leading enterprise-scale cloud optimization and FinOps.
• Strong expertise in Azure, AWS, Kubernetes and hybrid-cloud environments.
• Experience with automation and DevOps practices.

Responsibilities

• Provide principal-level technical leadership for resilient, secure, scalable, and cost-efficient platforms across Azure, AWS, Kubernetes, and hybrid-cloud environments.
• Lead FinOps and infrastructure optimization capabilities, including cost allocation, showback, anomaly detection, forecasting, rightsizing, workload scheduling, commitment optimization, waste reduction, and validated savings realization.
• Develop policy-driven, closed-loop optimization workflows that move recommendations through identification, application-owner engagement, approval, ServiceNow change control, execution, validation, evidence capture, and reporting.
• Apply an automation-by-default approach using Python, PowerShell, Bash, REST APIs, Azure Functions, Power Automate, and event-driven services to reduce manual handoffs and operational toil.
• Design practical generative AI, AI-fueled coding, and agentic automation solutions for engineering operations, cost analysis, anomaly investigation, remediation guidance, executive reporting, knowledge retrieval, and decision support.
• Establish cloud-governance guardrails, policy-as-code controls, exception processes, auditability, and risk-based automation patterns aligned with security, architecture, compliance, and change-management requirements.
• Engineer secure identity and authorization models using role-based access control, managed identities, service principals, privileged identity management, just-in-time access, least privilege, and time-bound permissions.
• Integrate optimization and automation capabilities with Terraform, GitHub, Azure DevOps, CI/CD pipelines, ServiceNow, monitoring platforms, cost-management tools, and enterprise data sources while preventing configuration drift.
• Advance reliability engineering practices,

Skills

Technical leadership

Cloud platforms

FinOps optimization

Automation tooling

AI automation

Security IAM

Tools

Terraform

GitHub

Azure DevOps

CI/CD pipelines

ServiceNow

Job description

AT&T Technology Services is seeking a Principal System Engineer to lead FinOps, cloud optimization, and AI-driven automation across Azure, AWS, Kubernetes, and hybrid-cloud environments. You will translate business needs into durable solutions, guide cross-functional roadmaps, and drive cost efficiency and reliability at enterprise scale.

Join a team focused on secure, scalable platforms, intelligent automation, and governance to reduce cloud waste while delivering measurable value through