FOX is hiring: Broadcast Reliability Engineer I (R50033065) in Tempe

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. As part of our Broadcast Reliability team, you'll 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. This is an opportunity to work with cutting‑edge technologies, including machine learning, intelligent automation, and real-time observability, to solve complex operational challenges 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!

This position 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.

ABOUT YOU

You care about your team and their diverse perspectives and are invested in their success

You are excited by new technologies and their potential to change how things are done

You have an entrepreneur's spirit and enjoy problem solving

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

WHAT YOU WILL NEED

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

Strong verbal and written communication skills, including the ability to clearly document technical issues and present findings

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

NICE TO HAVE, BUT NOT A DEALBREAKER

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

Experience with the Skyline DataMiner platform, including protocols, connectors, dashboards, automations, or low‑code applications, is a major plus

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 is a plus

Exposure to cloud platforms (AWS, Azure, or Google Cloud) and container technologies (Docker, Kubernetes) is a plus

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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.

#J-18808-Ljbffr