Joe Grand
About Joe Grand
Joe Grand is a Cloud Platform Engineer with experience in Kubernetes and AWS. He has worked at Travelport since 2023 and previously held positions at Bunge and Macedon Technologies.
Work at Travelport
Joe Grand has been employed at Travelport as a Cloud Platform Engineer since 2023. His role involves significant contributions to the company's cloud infrastructure. He has successfully configured and deployed production-ready systems, including Prometheus/Alertmanager and Thanos, on Travelport’s Machine Learning Platform. Additionally, he initiated a knowledge-sharing initiative that encourages senior engineers to adopt a new Continuous Deployment (CD) platform, demonstrating his leadership and commitment to team development.
Previous Experience at Bunge
Prior to his current role, Joe Grand worked as a Research Intern at Bunge for three months in 2019, based in White Plains, New York. This experience provided him with foundational skills in research and development within a corporate environment, contributing to his overall expertise in technology and engineering.
Experience at Macedon Technologies
Joe Grand served as a Software Developer Consultant at Macedon Technologies from 2021 to 2023. During his two years in this position, he worked remotely and gained valuable experience in software development, further enhancing his technical skills and industry knowledge.
Education and Expertise
Joe Grand studied at Boston University from 2017 to 2021, where he earned a Bachelor of Arts degree in Mathematics and Computer Science. His educational background has equipped him with a strong foundation in both theoretical and practical aspects of technology, which he applies in his professional roles.
Technical Contributions and Initiatives
In his current role, Joe Grand has made notable technical contributions, including preventing the orphaning of untracked AWS resources through the implementation of a GitHub Action utilizing kubectl, ArgoCD CLI, and AWS CLI. He has also created runbooks and Grafana dashboards for applications, incorporating custom alerts written in PromQL, which enhances monitoring and operational efficiency.