Callum Owen

Cloud Platforms Technologist

A pragmatic, detail-oriented engineer with six years architecting, implementing, and supporting mission-critical software, cloud, and network infrastructure across world-class media organisations. Experienced leading cloud migrations and encoder configuration to improve multi-market live broadcast operations. Adept at designing, communicating, and evaluating large-scale distributed systems with stakeholders, building CI/CD pipelines, and driving reliability through statistical analysis and data-driven decision-making.

Technical Expertise

  • Cloud & Infrastructure: AWS (EC2, ECS, MediaConnect, Lambda, S3, CloudFormation), Docker, Kubernetes, Terraform
  • Systems & DevOps: Python, Java, C#, Linux, PowerShell, Jenkins, Git, CodeDeploy, CloudWatch, DataMiner, Grafana
  • Networking, Routing & Switching (CCNA-standard): TCP/IP, DHCP, IGMP, BGP, OSPF, HTTP, DNS, QoS
  • Broadcast Video & Audio: SMPTE ST 2110/2022-7, SRT, NDI, MPEG-TS, H.264, HEVC, FFmpeg, AWS Elemental, AES67, Dante
  • Fullstack Web Development: React, Node.js, TypeScript, JavaScript, Next.js, HTML, CSS, Postgres

Professional Experience

  • Warner Bros. Discovery, London

    September 2022 – June 2025

    Contribution Engineer

    Responsible for design, integration, and delivery of cloud and software-based broadcast contribution systems for TNT Sports and Eurosport across EMEA, providing tier 3 support and leading automation development to increase network efficiency and performance

    • Developed tooling to automate configuration and management of 500+ software encoders with React, Node.js and Postgres, reducing operational overhead for UEFA Champions League and Paris 2024 Olympics, notably reaching a record 215M viewers
    • Architected dynamic multi-region hybrid cloud infrastructure using AWS Direct Connect and advanced VPC routing, automating the scaling of EC2-based encoders to meet fluctuating live broadcast demands with resilient failover mechanisms
    • Orchestrated cloud migration of legacy on-prem SRT workflows, building automated CI/CD pipelines to deploy containerised encoders onto AWS ECS, expanding concurrency while reducing physical colocation footprint to save £millions in CapEx
    • Owned and managed multifaceted technical projects, collaborating with colleagues and third-party stakeholders through effective communication and accountability across Jira, agile ceremonies, and scrum meetings
    • Optimised stream performance following rigorous A/B testing of architectural solutions, conducting statistical analysis of AV Sync, Video Latency, and 2022-7 Hitless metrics to inform critical management decisions
    • Developed monitoring dashboards and automations using Python, Grafana, CloudWatch, DataMiner, and Lambda to handle ETR290 alarms (TS Sync Loss, CC Errors, Memory Usage) to diagnose and resolve critical transport faults, maintaining uptime
  • BBC (British Broadcasting Corporation), London

    September 2019 – August 2022

    Broadcast Engineer Degree Apprenticeship

    Completed a highly selective degree apprenticeship rotation scheme across enterprise broadcast, cloud operations, and multidisciplinary R&D projects, gaining fullstack engineering and infrastructure experience across world-renowned technology teams

    • Research Software Engineer, BBC R&D

      January 2022 – August 2022
      • Led development of Next.js, React, Node.js application within BBC R&D-sponsored dissertation on Public Service Internet
      • Implemented automated CI/CD workflow with GitHub, AWS, and Vercel, streamlining release cycle from pull request to production deployment and eliminating manual production errors
      • Designed fullstack software architecture and data modelling for a decentralised web application, integrating third-party libraries and SDKs to implement interoperable data standards within a design-led exploration of Public-Controlled Data
      • Facilitated expert interviews and user testing of proof-of-concept prototypes to inform iterative design based on mixed-methods research and data analysis
    • Software Engineer, Broadcast Systems Development

      June 2021 – September 2021
      • Developed fullstack React/Node.js web applications with resilient, well-documented RESTful APIs, providing operational staff with intuitive control interfaces for managing critical graphics data
      • Spearheaded data migration strategy from legacy MySQL schemas to AWS DocumentDB, establishing robust data mapping protocols that ensured zero data loss and significantly improved query performance
      • Architected and containerised multi-tier graphics database management applications using AWS ECS and EC2, optimising resource allocation for scalable, production-ready deployments
      • Streamlined software delivery lifecycle, built CloudFormation templates and automated Jenkins pipelines integrated with Docker/GitHub, ensuring reproducible runtime configurations across environments and eliminating deployment failures
    • Systems Engineer, Operations Engineering

      December 2020 – March 2021
      • Led installation and delivery of studio infrastructure within a live broadcast bureau, integrating NDI encoders and virtualised production systems to enable scalable, low-latency, IP-based live-streaming workflows, managing end-to-end project lifecycle and stakeholder alignment while maintaining strict electrical safety standards
    • Systems Engineer, CNN

      January 2020 – August 2020
      • Installed, configured, and tested critical SMPTE ST 2110 broadcast network infrastructure, leveraging CCNA-level routing and switching knowledge (IGMP, multicast, BGP) as key technical liaison for the launch of CNN’s European Headquarters
      • Developed React, Node.js, and Firebase application proof-of-concepts underpinning remote, cloud-based broadcast architectures in response to Covid-19, and programmed custom PowerShell scripts to automate deployment and scaling of core graphics engines on Linux hardware

Academic Achievements

  • Newcastle University, Open Lab, School of Computing

    September 2025 – August 2026

    MSc Human-Computer Interaction · Distinction

    • Fullstack AI Engineering: Engineered functional AI product applications using TypeScript, React, Node.js, and local LLMs on Linux hardware, accelerating delivery via advanced Cursor IDE / Claude Code prompt-engineering workflows
    • HCI & Co-Design Methodology: Led iterative design and user testing within a multidisciplinary team, facilitating co-design sessions to translate user research into rapid technical prototypes
    • Rapid Prototyping & Data Modelling: Facilitated co-design workshops to independently engineer rapid Next.js prototypes, translating qualitative user data into tangible, secure architecture for data stewardship
    • AI Evaluation & Speculative Design: Evaluated AI personalisation systems by architecting high-fidelity Figma prototypes and leading focus groups to optimise algorithmic transparency, explainability, and user recommendation control
    • Advanced Object-Oriented Programming: Engineered complex warehouse management simulation, applying rigorous OOP principles, design patterns, and defensive programming to ensure type safety and scalable data models
    • Systemic User-Centred Design: Applied systems thinking and Responsible Research & Innovation frameworks to map complex user ecosystems; utilised advanced interaction design techniques to translate holistic user journeys into product requirements
  • Birmingham City University

    September 2019 – August 2022

    BEng (Hons) Engineering (Computer Science & Telecommunications) · First Class

    Integrated into BBC Engineering Degree Apprenticeship. Notable modules: Engineering Mathematics (99), Computer Programming for Engineers (86), Computer Systems (85), Database Technology (85), Broadcast Communications (84), Individual Project (81)

    • Cisco-certified CCNA syllabus: Computer Networks and IP Distribution 1 & 2, Quality of Service (75)
  • Skills England (formerly Institute for Apprenticeships and Technical Education)

    Issued July 2022

    Level 6 Broadcast and Media Systems Engineer Degree Apprenticeship

  • Shrewsbury Colleges Group

    September 2017 – August 2019

    A-Levels

    Mathematics (A*), Further Mathematics (A*), Physics (A*), Computer Science (A)

Additional Experience

  • Freelance, Remote

    September 2020 – Present

    Fullstack Web Developer

    • Fullstack Client Delivery: Engineered end-to-end web applications for clients across financial and graphic design sectors, custom-selecting tech stacks (React, Next.js, Node.js, Python) and managing cloud deployments via AWS, Vercel, and GitHub
    • Social Impact Enterprise Product Pitching: Conceptualised and built an apprenticeship recruitment and discovery platform prototype, successfully delivering high-profile product demonstrations to BBC directors and the Department for Education
    • Creative Frontend Engineering: Developed immersive 3D web experiences and custom prototypes using Three.js, GSAP, and advanced CSS animation techniques

Certifications

  • Microsoft

    Azure AI Fundamentals Certification

  • Cisco

    CCNA: Enterprise Networking, Security, and Automation

  • Dante

    Audio over IP Certification Level 2

Leadership

  • BBC

    Young Talent Network Steering Group Member

  • Lakelands Academy

    Head Boy