Connecting practical engineering with clear learning.
Jane Buro is an Expert Trainer at Neriya Tech Academy and a cloud and DevOps professional whose experience spans AWS, Microsoft Azure, Google Cloud, Kubernetes, infrastructure automation, secure software delivery and enterprise networking.
Her work includes cloud modernization and migration, reusable infrastructure as code, identity and access management, GitOps, CI/CD pipelines, monitoring, cost optimization and regulated technology environments. She combines technical execution with cross-functional collaboration, stakeholder engagement and mentoring.
Before moving into network engineering, Jane worked as a Scrum Master, Project Manager and Business Analyst. This earlier experience informs how she connects technical work to business requirements, team coordination, delivery planning and practical outcomes.
Through Neriya, Jane focuses on helping learners understand concepts, build realistic projects, explain technical decisions and develop confidence through practice. She also creates beginner-friendly learning resources on Linux, networking, cloud and related engineering topics.
AI training experience
Jane also brings AI-training experience with LinkedIn and DataAnnotation, complementing her background in cloud engineering, DevOps and practical technology education.
Selected enterprise experience
AWS cloud solutions; IAM users, groups, roles and SSO; Kubernetes access and permissions; infrastructure automation with Terraform, CloudFormation and Ansible; deployments with Helm and Argo CD; Enterprise Linux; and collaboration with stakeholders using Agile practices.
AWS-to-Azure migration, cloud modernization, reusable infrastructure as code, Azure Kubernetes Service, Jenkins and GitHub Actions pipelines, and Kubernetes health checks and self-healing configurations.
CI/CD architecture, application packaging, cloud integrations, monitoring and alerting with CloudWatch and Datadog, and release automation.
Infrastructure provisioning, automated build and release workflows, IAM controls, cloud cost management and monitoring in healthcare environments.
GCP infrastructure supporting fraud detection and anti-money laundering analytics; BigQuery, Cloud Storage, Dataproc and Python pipelines; Bash and cloud CLI automation; and operational monitoring.
Enterprise network infrastructure and data-center operations, hybrid-cloud connectivity using AWS Direct Connect and VPC networking, and proactive network monitoring.
Earlier business & delivery experience
Scrum Master · Project Manager · Business Analyst
These roles preceded her move into network engineering and form part of her background in business analysis, Agile delivery and project coordination.