Ryan Jones

Infrastructure and Platform Engineer with 13+ years of experience building, operating, and improving production infrastructure across high-traffic, data-intensive environments. Hands-on experience with Linux infrastructure, observability, automation, distributed data platforms, networking, and hybrid cloud/on-prem systems. Experienced in troubleshooting complex production issues, improving reliability and scalability, automating infrastructure operations, and supporting platforms used by large-scale streaming and broadcast environments.

Lead Data Platform & Reliability Engineer at Disney Streaming Services (2020-09 – 2026-06)

Built and operated large-scale infrastructure, observability, and data platforms supporting Disney+ production environments across hybrid cloud and on-prem infrastructure.

• Built and operated observability and data ingestion platforms supporting thousands of hosts across hybrid cloud and on-prem environments.
• Worked with AWS services including EC2, S3, RDS, and MWAA, using foundational Terraform skills to support infrastructure provisioning and configuration.
• Designed and operated a ClickHouse platform ingesting more than 100TB of log data daily to support real-time CDN decisioning and delivery-cost optimization.
• Built internal production analytics and telemetry infrastructure that reduced reliance on third-party systems and kept operational data within Disney infrastructure.
• Migrated large-scale logging infrastructure from Elasticsearch to Splunk by benchmarking workloads, designing the replacement environment, and deploying new infrastructure, reducing hardware requirements by 50% while doubling indexing performance.
• Built high-volume log, metrics, and event pipelines using Kafka, ClickHouse, Elasticsearch, Prometheus, and InfluxDB.
• Deployed Cribl as a data-routing and transformation layer for high-volume telemetry, enabling filtering, transformation, cost optimization, and delivery to multiple destinations.
• Automated infrastructure and operational workflows and supported engineers developing internal tooling for infrastructure automation, stream processing, and batch systems.
• Troubleshot production infrastructure, capacity, performance, and reliability issues across distributed systems and data platforms.
• Worked across engineering teams to plan and implement infrastructure changes while maintaining reliability of production streaming services.

Infrastructure & Platform Engineering Lead at Major League Baseball Advanced Media (MLBAM) (2015-05 – 2020-09)

Built and supported infrastructure, networking, monitoring, and automation systems for high-availability broadcast and live-event environments across MLB and NHL operations.

• Operated network and Wi-Fi infrastructure across 10+ MLB stadiums and NHL environments supporting broadcast connectivity and live-event operations.
• Built and maintained centralized monitoring infrastructure using Nagios XI for systems supporting all 30 MLB teams and NHL environments.
• Introduced PRTG to expand network monitoring, visibility, and performance troubleshooting across production infrastructure.
• Migrated Splunk workloads to Elasticsearch by benchmarking performance, redesigning infrastructure, and reducing hardware requirements.
• Built tooling for infrastructure automation, stream processing, and batch systems.
• Monitored and troubleshot production systems and network infrastructure during live broadcasts and high-traffic events.
• Coordinated infrastructure maintenance and production changes across teams while minimizing disruption to live services.
• Supported incident response, alerting, capacity planning, and performance troubleshooting across infrastructure and network environments.

Bachelor of Science in Computer Science – Southern New Hampshire University (2026)

Associate of Science in Information Science – Bucks County Community College (2024)