Broadcast Reliability Engineer I

About the role

The Broadcast Reliability Engineer helps build and operate the intelligent monitoring and automation platforms that power one of the nation's premier broadcasters. This role supports a 24/7 broadcast operation. While the role is primarily scheduled during daytime hours, flexibility to provide evening or overnight coverage for live events and critical operational activities is expected as needed.

Responsibilities

• Develop software, automate workflows, and leverage AI-driven monitoring to help ensure FOX content is delivered reliably across linear broadcast, Video on Demand (VOD), streaming, and emerging media platforms.
• Work with cutting-edge technologies, including machine learning, intelligent automation, and real-time observability, to solve complex operational challenges at scale.
• Support a 24/7 broadcast operation, providing evening or overnight coverage for live events and critical operational activities as needed.

Requirements

• 1–3 years of hands-on experience working on software-based design, development, or technical support projects.
• Strong analytical, reasoning, and technical troubleshooting skills are essential.
• Previous experience with architecture, deployment, or administration of monitoring, alerting, and/or data analysis systems in on-premises and cloud environments is a plus.
• Experience with software development using C# and/or Python; familiarity with REST APIs, Git, and scripting/automation is preferred.
• Experience with production video and broadcast operations.
• Experience with IP networking and broadcast workflows (SMPTE ST 2110, ST 2022-6, multicast, PTP, etc.).
• Familiarity with monitoring platforms such as Skyline DataMiner or similar enterprise monitoring and automation solutions is a plus.
• Understanding of AI/ML concepts, including anomaly detection, predictive monitoring, and AI-assisted operational workflows.
• Experience utilizing AI-assisted development platforms to support scripting, code analysis, troubleshooting, API integration, automation development, and technical documentation.

Qualifications

• Bachelor's or Master's degree (or equivalent practical experience) in Engineering, Information Technology, Computer Science, or a related technical field.
• Nice to have, but not a dealbreaker:
• Experience with the Skyline DataMiner platform, including protocols, connectors, dashboards, automations, or low-code applications.
• Experience with logging, monitoring, and observability platforms (e.g., ELK/Elastic Stack, Splunk, Grafana, Prometheus, or similar).
• Experience with incident management workflows and integrations with ServiceNow, Slack, or similar platforms.
• Proficient with data formats and configuration languages including XML and JSON.
• Familiarity with SQL, time-series databases, or data visualization tools.
• Exposure to cloud platforms (AWS, Azure, or Google Cloud) and container technologies (Docker, Kubernetes).

Skills

• Strong verbal and written communication skills, including the ability to clearly document technical issues and present findings.
• An entrepreneur's spirit and enjoyment of problem-solving.
• Able to get stuff done, not just talk about it!

Benefits

• Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $39.75-42.00 per hour.
• This role is also eligible for various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
• Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.