Senior Broadcast Reliability Engineer

About the role

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.

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
• Leverage generative AI and large language models (LLMs) to accelerate software development, operational automation, troubleshooting, knowledge management, and engineering workflows
• 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
• 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

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
• 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
• 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
• Strong experience with AI/ML-enabled operational intelligence solutions, including anomaly detection, predictive monitoring, intelligent alerting, root cause analysis, and automated remediation

Qualifications

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

Skills

• 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 issues

Benefits

• $114,000.00-120,000.00 annually
• Annual discretionary bonus
• Variety of benefits including medical/dental/vision insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents
• Union representation may apply for certain benefits

Pay

• $114,000.00-120,000.00 annually

Schedule

• Primarily scheduled during daytime hours, but flexibility to provide evening or overnight coverage for live events and critical operational activities is expected as needed