Senior Broadcast Reliability Engineer

Fox•Tempe, AZ

1d•$114,000 - $120,000

About The Position

The Senior Broadcast Reliability Engineer designs, develops, and evolves the intelligent monitoring, automation, and observability platforms that power one of the nation's premier broadcasters. This role is responsible for building highly reliable systems that ensure FOX content is delivered seamlessly across linear broadcast, Video on Demand (VOD), streaming, and emerging media platforms. Working at the intersection of software engineering, cloud infrastructure, and broadcast technology, you'll help shape the future of media operations by leveraging AI-driven observability and advanced automation to improve operational efficiency, accelerate incident response, and enable predictive system reliability. As FOX continues to explore next-generation technologies, including the Media Exchange Layer (MXL) and AI-native operational workflows, you'll have the opportunity to architect solutions that redefine how broadcast systems are monitored, controlled, and optimized at scale. At FOX, you will have full permission to bring your best tech game to invent and build technology that delivers a high-quality viewer experience to millions across FOX networks, digital platforms, mobile applications, websites, and licensing partnerships. The way we consume media has fundamentally changed. We watch on our laptops, phones, tablets, and TV. We stream, record and binge. Who knows what we’ll do next? You do – because you help build the technology to realize it!

Requirements

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
Working knowledge of IP-based broadcast infrastructure (e.g. SMPTE ST 2110, AMWA NMOS, multicast networking, and Precision Time Protocol (PTP))
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).

Nice To Haves

Bachelor's degree or equivalent practical experience in Engineering, Computer Science, Information Technology, or a related technical field
Experience with the Skyline DataMiner platform, including connector development, automation, dashboards, low-code applications, and system integrations
Experience designing and operating observability platforms using metrics, logs, traces, telemetry, and event correlation across distributed systems
Experience supporting advanced broadcast workflows including UHD/4K, HDR, IP media transport, and distributed media processing
Strong experience with hybrid cloud architectures and media workflows leveraging AWS, Azure, or Google Cloud Platform
Experience with containerized and orchestrated environments including Docker, Kubernetes, and modern DevOps practices
Experience designing highly available, fault-tolerant systems with automated recovery, redundancy, and disaster recovery strategies
Experience developing or integrating AI/ML-enabled operational intelligence solutions, including anomaly detection, predictive monitoring, intelligent alerting, root cause analysis, and automated remediation
Strong proficiency in Python, C#, .NET, RESTful APIs, JSON, XML, SQL, and Git-based software development workflows
Exceptional analytical and troubleshooting skills with the ability to correlate telemetry across infrastructure, applications, networking, and broadcast systems to rapidly identify and resolve complex production issue

Responsibilities

Design, architect, and evolve enterprise monitoring, observability, and automation platforms supporting linear broadcast, streaming, cloud, and media production 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
Drive software engineering best practices including source control, CI/CD, automated testing, and code reviews
Experience leveraging generative AI and large language models (LLMs) to accelerate software development, operational automation, troubleshooting, knowledge management, and engineering workflows
Serve as the senior technical escalation point for complex cross-domain issues impacting live broadcast operations and major live events
Architect resilient, highly available broadcast systems with a focus on redundancy, scalability, fault tolerance, and disaster recovery
Develop automation and orchestration solutions that reduce operational overhead and improve system reliability across hybrid on-premises and cloud environments
Lead technical evaluations, proof-of-concept initiatives, and adoption of emerging technologies in monitoring, observability, automation, and AI-assisted operations
Mentor engineers and establish technical standards, documentation, and operational best practices across the Broadcast Reliability organization
Partner with Engineering, Operations, Product, and Production teams to translate business requirements into scalable technical solutions
Drive continuous improvement through incident management, root cause analysis, reliability engineering practices, and post-incident reviews
Participate in on-call rotations and provide technical leadership during high-profile live productions and major broadcast events