Sai K.
About Sai K.
Sai K. is a Senior AWS DevOps Engineer with extensive experience in cloud engineering and DevOps practices across various companies, including Tailored Brands, 3M, and T-Mobile. He holds a Bachelor's degree in Computer Science from Karunya Institute of Technology and Sciences and a Master's degree in Computer Science from Troy University.
Current Position as Senior AWS DevOps Engineer
Currently, Sai K. serves as a Senior AWS DevOps Engineer at a confidential organization in Plano, Texas. Since 2020, he has been responsible for managing AWS instances, setting security groups, and utilizing Elastic Load Balancer (ELB) and Amazon Machine Images (AMIs) to create cost-effective and fault-tolerant systems. His role involves implementing Continuous Deployment strategies to automate processes from code commit to production, thereby streamlining workflow.
Previous Experience in DevOps and Cloud Engineering
Sai K. has a diverse background in DevOps and cloud engineering. He worked at Tailored Brands, Inc. as a DevOps Engineer for 8 months in 2017, followed by a position at T-Mobile as an Azure DevOps Engineer for 1 year from 2017 to 2018. He then served as an AWS Cloud Engineer at 3M for 9 months in 2019. Additionally, he worked at Boeing as a Senior AWS DevOps Engineer for 1 year from 2019 to 2020, where he managed Azure Security groups and ensured secure cloud operations.
Educational Background in Computer Science
Sai K. holds a Bachelor's degree in Computer Science from Karunya Institute of Technology and Sciences, which he completed from 2008 to 2012. He furthered his education by obtaining a Master's degree in Computer Science from Troy University, studying from 2014 to 2016. This academic foundation has equipped him with the skills necessary for his roles in cloud engineering and DevOps.
Technical Skills and Projects
Throughout his career, Sai K. has developed a range of technical skills. He has worked with NoSQL databases like DynamoDB to enhance data handling capabilities and orchestrated Docker containers using Kubernetes and Azure Kubernetes Service to improve deployment efficiency. He has also installed Docker Registry for local management of Docker images and developed WCF services, Azure Web roles, and Worker roles to optimize cloud operations.