Platform Architect
Leading complex migrations to modern, container-based cloud architectures while ensuring minimal service disruption. My work involves developing self-service infrastructure provisioning systems, establishing comprehensive observability stacks, and implementing robust quality assurance frameworks through extensive end-to-end and load testing.
Observability Architect
Architecting and deploying observability platforms for private and public cloud environments. This includes standardizing on modern, open-source technologies and engineering the underlying infrastructure for networking, storage, and GitOps-based deployments, with a focus on validating platform resilience and scalability through rigorous testing.
Platform Engineer
Developing and operating multi-cloud native platforms with a focus on integrating core cloud-native components for robust deployments. I consistently work on improving service security and facilitate internal adoption by creating standards and best practices to streamline development.
DevSecOps
Leading security audits and comprehensive reviews of critical platforms. My expertise includes enhancing security posture by implementing modern secret management, container security solutions, and secure API gateways. I establish robust testing and automated upgrades to ensure ongoing compliance and security.
SRE
As a Site Reliability Engineer, I manage and advance critical platforms within multi-cloud environments. My responsibilities consistently include establishing resilient cross-cloud deployments and connectivity, designing comprehensive monitoring stacks, and implementing GitOps and Infrastructure as Code (IaC) to ensure security, compliance, and a consistent infrastructure state.
DevOps Engineer
Providing DevOps coaching and hands-on engineering support to multiple teams to standardize practices across organizations. This includes implementing robust CI/CD pipelines, test automation, and managing cloud deployments, as well as building on-demand Big Data environments and their associated monitoring.
DataOps
Providing dedicated DevOps support for AI/ML development and research workflows. This involves leveraging container orchestration and specialized ML pipeline management tools to create efficient and scalable environments for data scientists and researchers.
Trainer
Designing and delivering cloud-native technical workshops for internal development teams. The training focuses on core technologies and best practices to accelerate the adoption of modern DevOps and cloud-native principles.