Product Operations Engineer at FOX Entertainment

**Who this is for** This is for a hands-on operations engineer who enjoys the intersection of cloud infrastructure, DevOps, and AI, specifically looking to main

Work type: hybrid

Location: Los Angeles, California, USA

Salary: $114,000 – $150,000/yr

Type: Full-time

Summary

**Who this is for** This is for a hands-on operations engineer who enjoys the intersection of cloud infrastructure, DevOps, and AI, specifically looking to maintain the reliability of high-stakes AI applications. **Key highlights** You will handle the operational heavy lifting for AI/ML projects, including CI/CD management, on-call incident response, and ensuring scalable deployments across cloud platforms. **You might be a good fit if you...** - Have 3–5 years of experience in DevOps or systems engineering with a focus on production support. - Are highly proficient in Terraform, CI/CD pipelines, and infrastructure automation. - Have strong coding skills in Python or TypeScript to build automation tools. - Experience with containerization (Docker/Kubernetes) and managing microservices in production.

Job Description

OVERVIEW OF THE COMPANY

Fox Corporation

Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.

## JOB DESCRIPTION

We are seeking an Operations Engineer to join our Emerging Technology organization, supporting AI Solution Engineering and AI R&D teams. Reporting to the Product Operations Manager, this role is critical in ensuring the reliability, scalability, and operational readiness of AI-driven applications across their full lifecycle.

This is a hands-on, mid-level role focused on DevOps, MLOps, and production support. You will play a key role in deploying, maintaining, and supporting applications from early-stage development through production, including participating in on-call rotations and handling break-glass scenarios.

The ideal candidate brings a strong foundation in development and systems engineering, thrives in ambiguous environments, and is excited to work at the intersection of infrastructure, operations, and AI. You will also help shape processes and workflows in partnership with engineering teams and product operations, contributing to how this function evolves over time.

A SNAPSHOT OF YOUR RESPONSIBILITIES

• Support end-to-end operations for AI-driven applications, including release support, deployment, monitoring, and maintenance

• Participate in on-call rotations and own break-glass production support to ensure system reliability and uptime, including knowledge base and self service mechanisms

• Own and manage infrastructure support and deployment using CI/CD pipelines targeting cloud platforms (AWS/GCP), ensuring scalable and repeatable environments

• Collaborate with AI Solution Engineering, AI R&D, and Product Operations to define and implement operational processes and workflows

• Contribute to pipeline, version control practices, and release management across multiple applications and deployments

• Work with and support end customers onboarding and utilizing deployed platforms

• 3–5 years of experience in DevOps, systems engineering, or software engineering roles with operational responsibilities

• Strong hands-on experience with Terraform, Git, CI/CD pipelines, and DevOps practices

• Experience supporting production systems, including on-call rotations and incident response

• Proficiency in Python and/or TypeScript, with the ability to contribute to codebases and automation

• Strong experience working in Linux environments and modern IDEs

• Experience with AI/ML pipelines and AI tooling/frameworks (agents, etc.)

• Exposure to containerization and orchestration technologies (e.g., Docker, Kubernetes)

• Experience running microservice-oriented containerized application stacks

• Familiarity with AI/ML product lifecycles and deploying AI-driven applications

• Deep experience with AWS and/or GCP infrastructure and services

• Ability to work in fast-paced, ambiguous environments and contribute to defining processes and best practices

• Strong collaboration and communication skills across technical teams

• Experience working closely with product and program management teams

• Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.

• Experience working closely with product and program management teams

• Interest in expanding into broader ownership across the full product and release lifecycle

• Experience in media, streaming, or digital content delivery environments

#Ll-JT1

Learn more about Fox Tech at [https://tech.fox.com](https://tech.fox.com/) 

#foxtech

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