Professional summary
I am Ross Brigoli (rossbrigoli), a technology leader with 20+ years of professional experience across software engineering and architecture.
My work sits at the intersection of architecture, engineering execution, and technology leadership: shaping pragmatic technical direction, helping teams deliver, and turning complex systems into platforms that are understandable, operable, secure, and useful.
Technology Leadership Software Engineering Solution Architecture AI & Machine Learning Platform Engineering Kubernetes OpenShift MLOps DevOps DevSecOps DIY Homelab DIY 3D Printing
Experience
RAA — Technology Leadership, Head of Engineering and Architecture
Adelaide, South Australia
I work across architecture and engineering practice, helping shape technology outcomes for enterprise systems and digital platforms.
- Lead and shape technology outcomes across architecture and engineering practice.
- Translate complex business and technical problems into practical, operable systems.
- Work across enterprise technology strategy, software delivery, and platform modernisation.
Red Hat — Associate Principal Architect, Open Innovation Labs
Singapore / Australia / Asia-Pacific Region
At Red Hat, I worked with enterprise teams on cloud-native delivery, platform adoption, DevOps, MLOps, and Red Hat OpenShift. My public Red Hat author profile is available here.
- Designed and delivered solutions across microservices architecture, DevOps, MLOps, and OpenShift.
- Worked with enterprise teams across industries on cloud-native delivery and platform adoption.
- Contributed writing and thought leadership on AI/ML adoption, data excellence, collaboration, and delivery practices.
Crédit Agricole CIB — Associate Director, Technical Architecture
Singapore / France
At Crédit Agricole, I worked in financial services technology as a software engineer and technical architect, building depth in enterprise systems, integration, delivery discipline, and architecture in a highly regulated environment.
- Designed and contributed to software systems where reliability, maintainability, and operational discipline mattered.
- Worked across engineering and architecture concerns: application design, integration, delivery practices, and technical problem solving.
- Built practical experience with the constraints common to banking and financial services platforms: governance, security, change control, stakeholder alignment, and long-lived systems.
- Strengthened the engineering foundations that still shape how I approach architecture today: simplify where possible, make trade-offs explicit, and design systems teams can operate.
Earlier career — Software Engineering and Consulting
Philippines / UK / Australia
Before moving deeper into architecture and platform leadership, I built broad delivery experience across software engineering and consulting environments, including work with organisations such as Accenture, Optimum Solutions, Avanade working for clients like Barclays and Vicroads.
- Built depth across software engineering, technical architecture, agile delivery, and enterprise systems.
- Led and contributed to architecture and engineering initiatives in large, delivery-focused organisations.
- Developed a practical engineering bias: understand the problem, simplify the design, make it operable, and keep teams moving.
Core capabilities
- Architecture: enterprise architecture, solution architecture, engineering, microservices, integration, platform strategy.
- Platforms: Kubernetes, Red Hat OpenShift, cloud-native engineering, developer platforms.
- Delivery: DevOps, DevSecOps, CI/CD, Agile practice, engineering operating models.
- Data & AI: MLOps, data platforms, ML workflow automation, OpenShift AI / data science platforms, Agentic AI.
- Leadership: team leadership, stakeholder alignment, pragmatic transformation.
Publications
MLOps with Red Hat OpenShift
Co-author — Packt Publishing, 2024
A cloud-native approach to machine learning operations on Red Hat OpenShift, covering data preparation, model training, pipelines, deployment, and monitoring.
Machine Learning on Kubernetes
Co-author — Packt Publishing, 2022
A practical guide to building and using an open source machine learning platform on Kubernetes with tools such as JupyterHub, MLflow, and Airflow.
Selected writing and thought leadership
I write about architecture, delivery, AI/ML platforms, and the gap between technology ideas and practical execution. On this blog I also document practical maker projects, including DIY homelab builds, Kubernetes and OpenShift experiments at home, and DIY 3D printing projects.
- Embracing Agile and Microservices for Effective Digital Transformation: A Top-down Approach — LinkedIn article, 2023.
- Most Machine Learning projects fail. What can you do? — LinkedIn article, 2022.
- TDD is not a Testing Approach — LinkedIn article, 2022.
- DevSecOps. What's in it for executives? — LinkedIn article, 2022.
- Agile is Not a Methodology — LinkedIn article, 2016.
More writing and professional updates are available on LinkedIn and my Red Hat author profile.
Maker projects and technical blogging
Beyond professional architecture and engineering work, I use this site to publish practical write-ups from my own builds and experiments:
- DIY homelab and OpenShift at home: building homelab hardware, a DIY silent server cabinet, Proxmox VE clusters, and OpenShift 4 deployments on home infrastructure.
- Kubernetes and OpenShift: posts on OpenShift installation, GitLab CI jobs on OpenShift, Nexus Docker Registry on OpenShift, and Kubernetes-based machine learning platforms.
- DIY 3D printing: 3D printer builds and rebuilds, 3D printed electronic drum kits, custom guitar pedalboards, and other printed maker projects.
Education
Mindanao State University – Iligan Institute of Technology
M.S. in Computer Applications, 2007
University of Science and Technology of Southern Philippines
B. in Technician Teacher Education, Industrial Automation, 2005
Mindanao State University – Iligan Institute of Technology
Diploma in Industrial Automation and Control Engineering Technology, 2003