Senior AI-Driven Broadcast Reliability Engineer

FOX Direct to Consumer; Tempe (AZ); On-site; USD 114,000 - 120,000; Full time

Job summary

FOX Corporation seeks a Senior Broadcast Reliability Engineer to design and evolve AI-powered observability and automation for broadcast, streaming, and cloud workflows. You will partner with engineering and production to deliver reliable live output across platforms, with a focus on scalable, fault-tolerant systems.

You will mentor engineers, drive best practices, and lead incident reviews while supporting 24/7 operations and major live events.

Qualifications

• 5+ years of experience designing, developing, and supporting large-scale broadcast, media, or mission-critical technology environments with a focus on reliability, observability, and automation.
• Expert-level experience designing and developing software solutions for broadcast monitoring and control platforms, including protocol development, workflow automation, dashboards, and systems integration using C#, .NET, Python, and modern API technologies (REST, gRPC, SNMP, SOAP, TCP/UDP).
• Experience leveraging generative AI and large language models (LLMs) to accelerate software development, operational automation, troubleshooting, knowledge management, and engineering workflows.
• Lead the implementation and optimization of intelligent monitoring solutions that leverage AI/ML techniques for anomaly detection, predictive analytics, event correlation, and operational automation.

Skills

Broadcast monitoring

Observability

Automation

AI/ML for monitoring

C#

.NET

Python

REST APIs

gRPC

SNMP

TCP/UDP

CI/CD

Incident management

On-call support

Distributed systems

Kubernetes

Docker

Telemetry

Education

Bachelor's degree or equivalent practical experience in Engineering, Computer Science, Information Technology, or a related technical field

Tools

Skyline DataMiner

Docker

Kubernetes

Job description

FOX Corporation seeks a Senior Broadcast Reliability Engineer to design and evolve AI-powered observability and automation for broadcast, streaming, and cloud workflows. You will partner with engineering and production to deliver reliable live output across platforms, with a focus on scalable, fault-tolerant systems.

You will mentor engineers, drive best practices, and lead incident reviews while supporting 24/7 operations and major live events.