Amar Chaitanya Muthyala

Amar Chaitanya Muthyala

Sr Productivity Engineer @ Adobe

About Amar Chaitanya Muthyala

Amar Chaitanya Muthyala is a Senior Productivity Engineer at Adobe, with a background in Electrical and Electronics Engineering. He has extensive experience in cloud infrastructure management, automation, and system reliability across several prominent technology companies.

Work at Adobe

Amar Chaitanya Muthyala has been employed at Adobe as a Senior Productivity Engineer since 2022. He works in Bengaluru, Karnataka, India, contributing to the company's productivity initiatives. His role involves leveraging his technical skills to enhance operational efficiency and streamline processes within the organization.

Education and Expertise

Amar Chaitanya Muthyala earned his Bachelor's degree in Electrical and Electronics Engineering from Priyadarshini College of Engineering and Technology, Nellore, from 2007 to 2011. His education laid the foundation for his technical expertise, which includes debugging, analyzing complex systems, and managing cloud infrastructure using AWS.

Professional Background

Amar has a diverse professional background, having worked in various roles across multiple companies. He began his career as a Test Engineer at Tech Mahindra from 2011 to 2014. He then held positions at HCL Technologies and Aruba, a Hewlett Packard Enterprise company, before moving to IBM and Netskope as a Site Reliability Engineer. His experience spans over a decade in the technology sector.

Technical Skills and Tools

Amar possesses a range of technical skills essential for his roles in engineering and reliability. He is proficient in container orchestration with Kubernetes and Docker, and has expertise in monitoring and analytics tools such as Kibana, Sumo Logic, New-Relic, and Grafana. Additionally, he has experience in automation and CI/CD processes using Jenkins.

Database Management Experience

Amar has a strong background in database management, with experience in various database systems including Postgres, Redis, and MongoDB. This expertise supports his ability to manage and optimize data storage solutions, contributing to the overall performance of the systems he works with.

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