Principal Infrastructure Architect

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

JOB DESCRIPTION

Fox Enterprise Technology is seeking a Principal Infrastructure Architect to lead the design and evolution of our AWS and Linux-based enterprise platforms. This role is responsible for defining cloud architecture standards, modernizing infrastructure services, and driving secure, scalable, and highly automated solutions across hybrid environments.

This is a senior, architect-level position focused on strategy, reference architecture, governance, and technical leadership. While remaining technically hands-on, the primary emphasis is on architectural design, AWS platform engineering, Linux systems management and replatforming, and enterprise cloud modernization.

The ideal candidate combines deep AWS expertise, strong Linux systems engineering experience, extensive expertise with virtualization technologies and a proven ability to influence cross-functional teams to deliver resilient, secure, and cost-effective infrastructure services that support critical Fox business initiatives.

A SNAPSHOT OF YOUR RESPONSIBILITIES

Cloud Architecture (AWS-Focused), Infrastructure Engineering & Operations

• Serve as the enterprise subject matter expert for Linux systems (RHEL, Amazon Linux, Ubuntu, or similar distributions).

• Define standards for Linux provisioning, hardening, patching, monitoring, and lifecycle management.

• Architect scalable Linux-based platforms supporting application, database, and middleware workloads.

• Establish configuration management and automation frameworks for Linux environments (Ansible preferred).

• Drive performance optimization, kernel tuning, and system reliability improvements.

• Define and maintain enterprise AWS architecture standards, guardrails, and reference designs.

• Architect multi-account AWS environments leveraging AWS Organizations, Control Tower, and landing zone best practices.

• Design highly available, fault-tolerant, and cost-optimized solutions using core AWS services (EC2, VPC, EBS, S3, RDS, IAM, Route 53, ELB/ALB/NLB, Auto Scaling).

• Lead workload migrations and modernization initiatives from on-premises platforms to AWS.

• Architect hybrid connectivity solutions (Direct Connect, VPN, transit gateways) integrating on-prem and cloud environments.

• Establish cloud governance models including tagging strategies, cost management, security baselines, and operational controls.

• Install, administer and optimize Nutanix environments (Prism, AOS, CVM).

• Migration of workloads from VMware to Nutanix or AWS EC2.

• Experience implementing and managing Infrastructure as Code (IaC) using tools such as Terraform, Ansible, PowerShell DSC, or similar platforms.

• Manage Infoblox DNS/DHCP services to ensure resiliency and performance.

• Install, configure, patch, and support Windows and Linux server environments using tools such as SCCM/Tanium/Ansible.

• Proactively monitor infrastructure health, performance, and capacity; remediate risks before business impact.

• Troubleshoot complex cross-platform issues spanning compute, storage, identity, networking, and virtualization layers.

• Administer Databases (Microsoft SQL, MySQL, AWS RDS)

• Manage and maintain backup services using Veeam/Rubrik.

• Manage and maintain storage platforms such as Isolon, Pure and StorNext.

AI-Enabled Engineering & Innovation

• Leverage AI-assisted engineering tools (e.g., ChatGPT, Claude, Cursor, or similar platforms) to accelerate architectural design, documentation, automation development, and operational analysis.

• Establish responsible AI usage patterns aligned with cybersecurity and data governance requirements.

• Evaluate and pilot emerging AI-enabled infrastructure platforms to improve engineering productivity and service delivery.

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