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Todd M.

Cloud Engineer at Eventus Systems

Todd M. has a diverse work experience focused on cloud engineering and system administration. Todd started their career in 2012 as a stagehand at the Investors Bank Performing Arts Center, where they worked until 2018. In 2018, they joined Lockheed Martin as a Linux System Administrator & Cloud Engineer. During their time there, they deployed and maintained a 3.5 Petabyte Ceph Storage cluster and a 50 node RedHat OpenStack Cluster with OpenShift. Additionally, they created custom monitoring using Prometheus to ensure efficient alerting and monitoring. Most recently, they joined Eventus in 2022 as a Cloud Engineer, where they successfully converted manual EC2 instance creation to a Terraform managed AWS account and implemented Ansible for configuration management, resulting in a significant reduction in deployment time. Todd also maintained high uptime across 200+ EC2 hosts providing SaaS.

Todd M. completed their education at the New Jersey Institute of Technology from 2016 to 2020. During this time, they obtained a Minor in Mobile & Web Development and a Bachelor of Science (BS) degree in Information Technology with a specialization in CyberSecurity. Prior to attending the New Jersey Institute of Technology, Todd M. attended Washington Township Highschool from 2012 to 2016, although no specific degree or field of study is indicated. In addition to their academic achievements, Todd M. has also obtained several certifications, including the CompTIA Security+ ce Certification from CompTIA in August 2022 and the CompTIA Linux+ ce Certification in October 2020. It is also mentioned that Todd M. holds a United States Government Security Clearance at the Secret level, although the specific month and year of obtaining this clearance are not provided.

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Sewell, United States

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Eventus Systems

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Eventus is a leading global provider of multi-asset class trade surveillance and market risk solutions. Their powerful, award-winning Validus platform is easy to deploy, customize and operate and is proven in the most complex, high-volume and real-time environments.


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51-200

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