Director, Platform Engineering

Fox Corporation

Director, Platform Engineering leading a new team for in-house software development, AI-enabled capabilities, and collaboration across FOX Technology.

Posted 6/19/2026full-timeTempe • Arizona, California, New York • 🇺🇸 United StatesLead💰 $160,000 - $270,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Lead a new platform engineering team supporting in-house development, AI-enabled workflows, and production readiness
Establish standards and readiness gates for moving solutions from concept to POC, pilot, and production
Partner primarily with FOX Technology and Broadcast Engineering teams to evaluate and mature internal tools that support engineering and operational workflows
Create and improve workflows for CI/CD, testing, deployment, release management, documentation, and operational support
Serve as a technical gatecheck for AI-assisted development efforts, ensuring solutions are secure, scalable, maintainable, and aligned to FOX standards
Guide the responsible use of LLMs, Claude or similar tools, Python libraries, feedback loops, and emerging agentic workflows
Partner with information security to review code quality, dependencies, library risks, data handling, and secure deployment practices
Lead agile delivery for approved concepts, translating stakeholder needs into technical requirements, sprint plans, and measurable outcomes
Support local compute initiatives that enable shared platform capabilities for FOX Technology and Broadcast Engineering
Mentor and develop a small team of software engineers focused on building and operationalizing internal platforms and tools

Requirements

What you’ll need

Experience leading software engineering, platform engineering, DevOps, MLOps, or infrastructure engineering teams
Strong understanding of software development lifecycles, CI/CD, testing, deployment, release management, and production support
Experience taking internal tools, platforms, or technical products from concept or POC into production
Strong proficiency with Python and modern software engineering practices
Experience with AI workflows, LLMs, model deployment, inference, training pipelines, or AI-enabled application development
Experience with GPU compute, local model training, inference platforms, or high-performance computing environments
Experience with cloud providers such as AWS, Google Cloud, or similar platforms
Experience with Claude or similar LLM-based tools used for software development, prototyping, automation, or productivity
Understanding of agentic concepts, feedback loops, human-in-the-loop validation, and risk management
Experience with responsible AI practices, model governance, or enterprise technology risk frameworks
Ability to evaluate code quality, software architecture, dependencies, security posture, scalability, and production readiness
Experience partnering with information security on secure development, vulnerability management, dependency scanning, or open-source library risk

Benefits

Comp & perks

medical/dental/vision insurance
401(k) plan
paid time off
annual discretionary bonus
various benefits in accordance with applicable plan documents

ATS Keywords

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Hard Skills & Tools

PythonCI/CDtestingdeploymentrelease managementAI workflowsLLMsmodel deploymentinferencehigh-performance computing

Soft Skills

leadershipmentoringcommunicationcollaborationagile deliverystakeholder managementorganizational skillsproblem-solvingtechnical guidanceteam development