Senior Media Platform Engineer

Job summary

The Senior Media Platform Engineer will build and operate the workflow orchestration and integration layer for FOX's internal software-defined media services and AI-enabled workflows. This role focuses on developing the connections between workflow engines, microservices, APIs, data stores, and observability to reliably deploy, scale, and support AI-assisted media capabilities across production and distribution environments. The position involves standardizing how workflows are defined, validated, released, and monitored, especially for high-value AI use cases.

Benefits

Qualifications

• Five or more years of professional software engineering experience building and operating production services (APIs, microservices, distributed systems).
• Strong experience with cloud-native development practices, including containers, service orchestration concepts, and CI/CD delivery.
• Solid programming ability in one or more common backend languages (e.g., Python, Go, Java, TypeScript).
• Comfort building RESTful APIs and integrations.
• Experience integrating with data systems (SQL/NoSQL), message/event systems, and modern authentication/authorization patterns.
• Experience evaluating and integrating practical AI/ML capabilities into production systems.
• Strong troubleshooting mindset to debug production issues and implement durable fixes.
• Strong communication skills and comfort working cross-functionally with technical and non-technical stakeholders.
• Experience with workflow orchestration tools or event-driven architectures (nice to have).
• Familiarity with observability tooling and SRE-style operational practices (nice to have).
• Understanding of modern AI technologies such as LLM APIs, vector databases, and inference services (nice to have).
• Experience integrating AI/ML inference services, MLOps patterns, or contributing to model evaluation/fine-tuning workflows (nice to have).
• Familiarity with Kubernetes/OpenShift operations and infrastructure-as-code concepts (nice to have).
• Exposure to live media/broadcast concepts (nice to have).
• Bachelor’s Degree or equivalent practical experience in Engineering, IT, Computer Science, or a related technical field.

Responsibilities

• Design and implement workflow orchestration for media and AI pipelines, including job definitions, routing rules, scheduling constraints, approvals, retries, and error handling.
• Build and maintain platform services to standardize workflow execution and governance across development, test, and production environments.
• Develop reusable workflow templates, SDKs, and integration patterns to accelerate delivery.
• Implement policy and guardrails for workload isolation in partnership with platform and SRE teams.
• Partner with AI/ML stakeholders to evaluate model options, considering quality, latency, cost, and operational complexity.
• Support model implementation into production workflows, including packaging, versioning, deployment patterns, rollback strategies, and reproducibility.
• Contribute to model lifecycle practices such as dataset/labeling requirements, evaluation metrics, A/B testing, and periodic model refresh processes.
• Help operationalize model governance, including traceability of model versions, performance monitoring, and release notes.
• Implement workflow-level validation and acceptance checks to ensure reliable outcomes.
• Define and enforce production-ready criteria for workflows through automation.
• Partner with operations and reliability teams to ensure 24/7 workflow support, clear escalation paths, and on-call expectations.
• Build production-grade services with strong engineering discipline, including code reviews, automated testing, secure coding practices, and documentation.
• Implement and improve CI/CD pipelines for workflow services.
• Ensure services are observable and supportable with structured logs, metrics, tracing, dashboards, and operational runbooks.
• Perform root cause analysis and automate repetitive operational tasks.
• Collaborate with engineering teams and stakeholders to define requirements, evaluate alternatives, and deliver solutions for FOX workflows.
• Translate user and operator requirements into clear user stories and acceptance criteria.
• Support internal clients and improve FOX’s ability to support external partners through enhanced reliability, visibility, automation, and repeatable delivery patterns.

Skills

Degrees

Languages

Relocation