Willem B.

DevOps Engineer at Grey Matter

Willem B. has diverse work experience in the field of technology. Willem started their career as a Cart Attendant at Navy Golf Course in 2016 and held the position until 2018. In 2017, they joined Northrop Grumman as a Software Engineer Intern and worked in that role until 2020. Following that, they joined greymatter.io in 2020 as an Intern and later transitioned to the position of DevOps Engineer in January 2022.

Willem B. attended Broadneck High School from 2013 to 2017, though they did not obtain a degree or specify a field of study during that time. Following their high school education, they pursued a Bachelor's degree in Computer Engineering from the University of Maryland from 2017 to 2021.

Location

Annapolis, United States

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Grey Matter

Grey Matter is an intelligent mesh platform for enterprise microservice, container, and hybrid cloud operations and management. Our focus on enabling enterprise governance, risk and compliance by leveraging the service mesh technologies for the development to day 2 AI Ops lifecycle. Our platform delivers reliable secure networkperformance, service level management and business intelligence, resource control, automation, and cost efficiency for the enterprise. Grey Matter is a pathway to enterprise modernization and cost control, providing interlacing service control, data management, and neural net functions designed to optimize enterprise distributed systems ROI and TCO.Grey Matter facilitates the management of distributed microservice workloads, controls network traffic, and smartly scales infrastructure to meet business demands. The capture and analysis of over 100 telemetry types powers onboard service level management and control. Our customers rely on Grey Matter’s speed, security, and reliability for critical distributed cloud management and data discovery, storage, and global sharing requirements. An industrial AI software pathway to intent-based networking and AIOps, the platform is also designed to optimize enterprise network availability and performance through AI neural network analysis, enabling AIOps for contextual awareness and intelligent network monitoring.


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51-200

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