Principal Software Engineering - Reliability and FinOps Engineer

About the role

AT&T Technology Services is hiring a Principal Software Engineering - Reliability and FinOps Engineer for a full-time onsite role in Plano, Texas, working five days per week. The role leads FinOps, cloud optimization, system reliability and AI-driven automation across Azure, AWS, Kubernetes and hybrid-cloud environments. No relocation is offered, and the company does not hire candidates requiring employer sponsorship.

Key responsibilities

• Provide principal-level technical leadership for resilient, secure, scalable and cost-efficient platforms across Azure, AWS, Kubernetes and hybrid clouds.
• Lead FinOps and infrastructure optimization, including cost allocation, showback, anomaly detection, forecasting, rightsizing, commitment optimization, waste reduction and validated savings.
• Build policy-driven, closed-loop optimization workflows covering identification, approval via ServiceNow change control, execution, validation, evidence capture and reporting.
• Apply automation-by-default using Python, PowerShell, Bash, REST APIs, Azure Functions and Power Automate.
• Design generative AI, AI-fueled coding and agentic automation solutions for engineering operations, cost analysis, anomaly investigation and executive reporting.
• Establish cloud-governance guardrails, policy-as-code controls, exception processes and risk-based automation aligned with security, compliance and change management.
• Engineer secure identity and authorization using RBAC, managed identities, service principals, PIM, JIT access and least privilege.
• Integrate optimization and automation with Terraform, GitHub, Azure DevOps, CI/CD pipelines, ServiceNow, monitoring and cost-management tools while preventing configuration drift.
• Advance reliability practices such as observability, SLOs, capacity management, incident prevention, post-change validation and rollback planning.
• Build executive dashboards and scorecards on cloud spend, reliability, automation coverage, savings and risk.
• Mentor engineers, create reusable reference architectures and standards, and lead proofs of concept and complex issue resolution.

Required profile

• 7+ years of progressive experience in systems engineering, cloud engineering, SRE, platform engineering, DevOps, FinOps or enterprise automation.
• Bachelor's or master's degree in Computer Science, Computer Engineering, Information Systems or Data Science; Finance preferred.
• FinOps Certified Practitioner or certifications in Azure, AWS, Kubernetes, Terraform, ITIL, SRE, security, data or AI.
• Ability to lead complex, cross-functional initiatives and influence technical direction.

Required skills

• Deep hands-on experience with Azure and/or AWS architecture, networking, compute, storage, identity, monitoring, governance and cost management.
• Strong FinOps knowledge: allocation, tagging, showback or chargeback, budgeting, forecasting, commitment management, anomaly detection and savings validation.
• Cloud optimization for VMs, storage, databases, Kubernetes and idle resources.
• Scripting and automation with Python, PowerShell, Bash, REST APIs, JSON and event-driven patterns.
• Infrastructure as Code and CI/CD with Terraform, GitHub Actions, Azure DevOps or similar.
• Kubernetes, AKS, EKS or OpenShift, including Helm, observability, node lifecycle and container cost allocation.
• Experience with generative AI, prompt engineering, AI assistants and agentic automation.
• Reliability engineering, observability, incident management, capacity planning, change control and operational readiness.
• Secure automation with RBAC, managed identities, PIM, JIT access, secrets management and auditable approvals.