Senior Media Platform Engineer

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 Corporation, under the FOX banner, produces and distributes content through some of the world’s leading and most valued brands, including: FOX News, FOX Sports, the Fox Network, and the FOX Television Stations. 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.

ABOUT THE ROLE

Our Media Platform Engineer role will build and operate the workflow orchestration and integration layer that powers FOX’s internal software-defined media services and AI-enabled workflows. This position focuses on developing the “glue” between platforms—workflow engines, microservices, APIs, data stores, and observability—so FOX can reliably deploy, scale, and support AI-assisted media capabilities across production and distribution environments.

This role works closely with multiple engineering teams and operational stakeholders to translate user needs into repeatable, governed workflows (POC → pilot → production) using modern software engineering practices and cloud-native delivery patterns. You will help FOX standardize how workflows are defined, validated, released, and monitored—especially for high-value AI use cases such as transcription, dubbing, highlights, video/audio analysis, and generative media services.

ABOUT YOU

• You are excited by new technology and its potential to change how things are done

• You LOVE getting stuff done, not just talking about it!

• You take ownership in your products and their success in the company

• You enjoy building systems that other teams depend on, and you care about reliability and maintainability

• You can translate ambiguous user needs into clear software requirements, APIs, and deliverable milestones

• You value automation, testing, and observability as first-class parts of engineering

• You like working across teams to evaluate options and deliver the best solution—not just “a” solution

A SNAPSHOT OF YOUR RESPONSIBILITIES

Workflow Orchestration & Platform Services

• Design and implement workflow orchestration for media and AI pipelines (job definitions, routing rules, scheduling constraints, approvals, retries, and error handling)

• Build and maintain platform services that standardize how workflows are executed and governed across environments (dev/test/prod)

• Develop reusable workflow templates, SDKs, and integration patterns that accelerate delivery and reduce one-off implementations

• Implement policy and guardrails for workload isolation (e.g., real-time vs batch vs experimental) in partnership with platform/SRE teams

AI Model Selection, Training & Lifecycle Enablement

• Partner with AI/ML stakeholders to evaluate model options (build vs buy vs fine-tune), including selection criteria such as quality, latency, cost, and operational complexity

• Support model implementation into production workflows, including packaging, versioning, deployment patterns, rollback strategies, and reproducibility

• Contribute to model lifecycle practices such as dataset/labeling requirements, evaluation/benchmarking metrics, A/B testing approaches, and periodic model refresh processes

• Help operationalize model governance: traceability of model versions, model performance monitoring in production, and release notes tied to workflow versions

Quality Gates, Validation & Operational Readiness

• Implement workflow-level validation and acceptance checks (input validation, output verification, automated quality gates) to ensure reliable, repeatable outcomes

• Define “production-ready” criteria for workflows (telemetry, error handling, documentation, runbooks, support handoffs) and enforce them through automation